Headquarters: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

We’re looking for a Customer Support Systems & Analytics Architect to own the data strategy and reporting function within the Customer Support organisation at Mercury. As our operations grow in complexity—spanning multiple channels, an expanding BPO model, and sophisticated AI automation—we are moving away from fragmented, project-based data support toward a model of holistic ownership.

In this role, you will be responsible for how we capture, structure, and connect data across our CS systems - including Zendesk and our AI Agent - to drive informed decision-making across the team. You will ensure our systems are configured in a way that produces reliable, high-quality data, and you will translate that data into actionable insights for CS leadership and stakeholders. You’ll sit at the intersection of data, operations, and customer experience, partnering closely with CS leadership, Strategy and Ops, and cross-functional teams like Data to make sure our reporting infrastructure is built to scale. Your work will be foundational to how the CS organisation measures performance, identifies opportunities, and drives decision-making.

 

Key Responsibilities

• Unified reporting and analytics: Actively build and maintain reports and dashboards that give the CS organisation clear visibility into key performance metrics, trends, and performance across channels, teams and projects  - from our internal Support team to our BPO partners. 
• CS Systems configuration and data governance: Work closely with systems admins to advise on the structural setup of our Zendesk instance across customer-facing teams, ensuring it is configured to generate clean, consistent, and reliable data while maintaining secure systems and efficient workflows.
• Data hygiene standards: Define and enforce standards for how data is captured across CS systems so that reporting is accurate, trustworthy, and reproducible
• AI automation data oversight: Monitor and analyse data from our AI chatbot, ensuring it is tracked in a way that supports quality reviews and decision-making across the CS organisation
• Insights to action: Translate raw data and reporting into clear recommendations that help CS leadership make decisions on resourcing, tooling, process improvements, and strategy
• Stakeholder support: Partner with cross-functional partners in areas like Product, Data and Strategic Finance to understand their data needs and deliver reporting that supports their goals
• Systems evaluation: Assess the data capabilities of existing and new CS tools, and make recommendations on how to optimise our systems stack for better reporting outcomes
• Process documentation: Document data structures, reporting methodologies, and system configurations to ensure institutional knowledge is retained and accessible across the team

What You Bring to the Table

• 5-8 years of experience in a data analyst, business intelligence, or systems analyst role, ideally within a customer support or operations environment
• Hands-on experience with Zendesk administration and configuration, including views, fields, triggers, and reporting, as well as using Zendesk Analytics to build reports and dashboards
• Fluency in SQL and experience working with data and BI tools such as Omni, Metabase, or similar
• Strong analytical thinking with the ability to turn complex datasets into clear, actionable insights
• Experience building and maintaining dashboards and reports for non-technical stakeholders
• Deep understanding of data hygiene principles and how system configuration impacts data quality
• Excellent communication skills, with the ability to present data findings clearly to stakeholders at all levels
• Collaborative mindset with experience working cross-functionally across teams such as Operations, Product, and Engineering

The Ideal Candidate Will Also Have

• Experience working with AI chatbot or conversational analytics platforms
• Familiarity with other CS tools such as Intercom, Guru, or Rippit (formerly known as MaestroQA)
• Experience working in a high-growth SaaS or fintech environment
• Background in supporting data-driven workforce planning or CS strategy initiatives

 

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $154,200 - $192,800
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $138,800 - $173,500
• Canadian employees (any location): CAD $145,800 - $182,200

 

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-AS1

 

To apply: https://weworkremotely.com/remote-jobs/mercury-customer-support-systems-analytics-architect

Juvare is a SaaS software company focused on developing innovative enterprise resilience solutions for government agencies, corporations, healthcare providers, and higher education. Juvare solutions have supported over 500,000 emergency response incidents in all 50 states and 20 countries worldwide. Juvare helps our clients prepare, connect, and respond to protect people, property, and brands.

As a Business Analyst at Juvare you’ll put your subject matter expertise and business analysis skills into practice as part of our software implementation and/or product management teams. In this role, you’ll take the lead on defining application and/or workflow requirements with clients, subject matter experts, and other key stakeholders. Through backlog refinement sessions, you’ll write epics and related detailed user stories, translate business requirements into actionable improvement plans, validate solutions meet the client definition of “done.”

Reports to:  Manager – Technical Delivery

Location: Atlanta, GA or Remote USA

Responsibilities:

The Business Analyst will work under the guidance of leadership to perform the following activities:

• Work alongside subject matter experts to develop business and system use cases, functional, non-functional and operational requirements
• Represent the client solution owner in functions including backlog prioritization, feature sequencing, sprint planning/grooming and user acceptance testing; participate in quality control and testing activities
• Elicit and capture business requirements in our software development environment; decomposing and documenting Epics into Features and User Stories down to detailed functional and nonfunctional acceptance criteria
• Work alongside our Project Management Office; assist with operational transition, internal and client training, knowledge transfer and SOP documentation
• Lead or participate in onsite or virtual requirements workshops with clients
• Explore the benefits and challenges of potential technical solutions with clients
• Document the final as-built configuration following completion of implementation, as well as demo end-to-end solutions to clients for acceptance

Qualifications:

• Bachelor’s degree from accredited university or college preferred or equivalent experience
• 5+ years recent experience as a business analyst or similar role writing requirements and developing process flows for custom solutions
• 2+ years’ experience working as a business analysts with Healthcare, US Federal, or Military end clients.
• Experience in consulting, software development and implementations in a client facing role

Skills/ Knowledge Requirements:

Required

• Demonstrated ability to understand complex software workflow platforms and collaborate with technical personnel.
• Desire to understand the emergency and operational management mission of our clients and how our software solutions support its continual improvement
• Excellent verbal and written communication skills
• Excellent interpersonal skills demonstrating collaboration and adaptability
• Ability to organize, plan and manage follow up action
• Familiarity with project management and/or software development tools (e.g., JIRA, Rally, MS Project, Confluence)
• A passion for technology, curiosity to learn new skills/technology with a fail-fast approach
• A passion to provide excellent value to clients

Preferred

• US Federal and/or Military domain knowledge
• Familiarity with standard emergency management practices and ICS and/or prior experience working directly with emergency management agencies
• Ability and willingness to travel 25% (average over course of a year)

What we offer:

• Health Insurance
• Life Insurance
• 401K with Corporate Match
• Tuition Reimbursement
• Expansive Self-Paced and Virtual Training Options
• Unlimited PTO
• Community Volunteer Opportunities
• Monthly Book Club

Additional Information:

This position is subject to compliance with the Export Administration Regulations (“EAR”) and may require a U.S. person status verification.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

EEO Statement

Juvare is deeply committed to building a diverse and inclusive team. We believe in equal opportunity for all applicants and encourage individuals from underrepresented groups in technology to apply. As an equal opportunity employer, we celebrate diversity and are committed to building and maintaining a diverse and inclusive workforce. All qualified applicants and employees will receive consideration for employment regardless of—and will be free from discrimination on account of—their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, physical condition, developmental disability, genetic information, or any other category protected under applicable law.

Any individuals with a disability requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to human-resources@juvare.com . The e-mail should include a description of the requested accommodation and the position you’re applying for or interested in.

Affirmative Action: Juvare’s Affirmative Action Plan advances our principles of equal opportunity and supports that goal by enlarging our talent pool.

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

FLSA Classification: Exempt

Overview:

We are Prime Matter Labs, a personal care product manufacturer with over 40 years of experience formulating, compounding, and filling products for some of the most successful and respected brands in the world.

 We have embarked in pursuit of a bold new vision to be the leading product development and production partner in the country for emerging and established brands. To realize that vision, we’re investing in new technology, processes, plans, and people that will completely rethink the way that brands view and interact with their manufacturer. We’re building the platform that will allow us to serve as the foundation of our customer’s branded products, from their first sample to their million-unit product run, and every step in between.

Come help us build the future of the personal care and beauty landscape, one partnership at a time.

Responsibilities:

• Work closely with managers, team members and company executives to identify the production needs of the business and help set quotas and other important metrics for production.
• Work closely with production staff in the development of the weekly and monthly production schedule.
• Coordinate with production, quality, and shipping teams to ensure monthly sales targets are met.
• Identify priority products, optimize workflows and meet order requirements. This includes prioritizing specific client orders for business relationships or to meet strict time requirements. Decide which products take priority and coordinate the projects’ needs with the production floor.
• Prepare reports to track progress against monthly, quarterly and yearly sales forecasts.
• Analyze and identify risks built into the Master Production Plan considering manufacturing lead times and capacity constraints.
• Support company-wide goals for on-time delivery to customer request dates.
• Support the monthly Sales & Operations Planning (S&OP) process, reconciling the demand plan with production capacity and supply constraints.
• Track and report forecast-accuracy KPIs (e.g., forecast accuracy, MAPE, and bias) and lead root-cause analysis and corrective actions.
• Partner with purchasing to align raw-material and component availability with the production plan, with particular attention to long-lead-time and shelf-life-sensitive materials.
• Support the maintenance of accurate item, lead-time, and capacity data within the ERP/MRP system to support reliable planning.
• Support the development of the yearly top-line revenue budget by consolidating customer forecasts, historical forecasting trends, and firm orders into a defensible annual volume plan.
• Follow up with customers on delivery dates for customer-supplied materials and components to ensure on-time availability for scheduled production.
• Support analysis on how the long-term forecast impacts equipment capacity, informing new-project site assignments and future equipment needs.
• Provide site production planners with the data needed to drive a firm four-week production schedule.

Qualifications:

• Bachelor’s degree in business management, supply chain management, or other related field
• 2+ years of related work experience in manufacturing industry is required
• Previous experience in supply chain demand planning is an asset
• Possess knowledge and experience in forecasting, data analysis, and supply chain management
• Exhibit the ability to be analytical and support analysis with data
• Experience in personal care, cosmetics, CPG, nutraceutical, or other FDA-regulated manufacturing is strongly preferred
• Working knowledge of statistical forecasting methods and demand-planning tools or ERP planning modules
• Proficiency in Microsoft Office suite, especially with Excel
• Familiarity with production planning software
• Organized, efficient and detail oriented
• Ability to manage in a complex and fast-paced, dynamic environment
• Strong written and verbal communication skills, with the ability to influence and align cross-functional partners

Benefits:

• Competitive compensation package
• Health, dental, and vision benefits
• 401K program
• The spirit of a startup with the security of an established, profitable industry leader
• The opportunity to make waves in a $250B industry
• Paid time off and company-observed holidays

Physical Requirements

• Primarily office-based work environment during regular business hours.
• Frequent use of a computer, phone, and standard office equipment.
• Ability to lift and carry up to 20 pounds (files, binders, or office materials).
• Ability to sit, stand, walk, bend, and reach as needed throughout the workday.

Equal Employment Opportunity Statement

Prime Matter Labs is committed to fostering a diverse, equitable, and inclusive workplace. We welcome applicants from all backgrounds, cultures, and experiences. Prime Matter Labs is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status in accordance with applicable federal, state, and local laws.

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you’re working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We’ll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs allowing for reproducible and traceable AI solutions.

Responsibilities

• Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
• Partner with client stakeholders to understand business challenges and develop data-driven strategies.
• Oversee data acquisition and integration, ensuring data quality and reliability.
• Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
• Guide the deployment and integration of predictive models into business applications.
• Develop and implement strategies for optimizing model performance and monitoring over time.
• Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
• Mentor and support junior and senior team members in data science methodologies and best practices.
• Influence data governance and best practices within the organization.
• Work directly with client stakeholders to define and lead analysis objectives and translate them into actionable results.

Qualifications

• 3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
• Experience with leading Agile AI/ML teams, including AI incubators. Strong background in leading data science teams and mentoring junior data scientists.
• Experience developing and deploying Generative AI applications in high security contexts
• 9+ years of experience in predictive analytics in languages like Python or Scala.
• 9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
• Experience tracking model performance through product development lifecycle. Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
• Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
• Experience using natural language processing techniques, including Generative AI.
• Preferred: Experience applying advanced analytics for fraud detection and prevention.
• Excellent communication skills for engaging with stakeholders at all levels, including executives.
• Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
• Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
• Experience working in an Agile Scrum framework

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.

Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply.

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.

Pay Range

$167,000—$225,000 USD

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.

KNOW YOUR RIGHTS

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you’re working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We’ll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs allowing for reproducible and traceable AI solutions.

Responsibilities

• Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
• Partner with client stakeholders to understand business challenges and develop data-driven strategies.
• Oversee data acquisition and integration, ensuring data quality and reliability.
• Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
• Guide the deployment and integration of predictive models into business applications.
• Develop and implement strategies for optimizing model performance and monitoring over time.
• Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
• Mentor and support junior and senior team members in data science methodologies and best practices.
• Influence data governance and best practices within the organization.
• Work directly with client stakeholders to define and lead analysis objectives and translate them into actionable results.

Qualifications

• 3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
• Experience with leading Agile AI/ML teams, including AI incubators. Strong background in leading data science teams and mentoring junior data scientists.
• Experience developing and deploying Generative AI applications in high security contexts
• 9+ years of experience in predictive analytics in languages like Python or Scala.
• 9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
• Experience tracking model performance through product development lifecycle. Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
• Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
• Experience using natural language processing techniques, including Generative AI.
• Preferred: Experience applying advanced analytics for fraud detection and prevention.
• Excellent communication skills for engaging with stakeholders at all levels, including executives.
• Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
• Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
• Experience working in an Agile Scrum framework

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.

Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply.

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.

Pay Range

$167,000—$225,000 USD

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.

KNOW YOUR RIGHTS

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.

We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.

Ready to make an impact? Join us and let’s build the future together.

About the Role

We’re hiring a Associate Data QA Engineer to join our Data Engineering/TechOps organization and learn alongside experienced engineers in a modern healthcare data platform environment. You’ll help validate, analyze, and deliver high-quality client data outputs—building foundational skills in data engineering, data quality, and SQL while contributing to real client implementations.

This is an early-career opportunity designed for recent graduates who are excited to build a foundation in data engineering, healthcare data, and client-facing delivery. As a trusted partner to the team, you will support client adoption of Abacus’s data management offerings while developing hands-on experience in data analysis, mapping, SQL, data quality, and cloud-based data services.

We welcome applications from new graduates, including candidates currently authorized to work in the United States under F-1 Optional Practical Training (OPT). Candidates must be authorized to work in the United States at the time of hire.

Location: Pacific Time Zone preferred. Candidates outside PST must be able to work core hours aligned to Pacific Time.

Your day to day

• Partner with clients and implementation teams to understand data distribution needs and expected outputs.
• Perform data analysis, data mapping, and validation of client deliverables.
• Build and maintain data extract scripts with guidance from senior engineers; troubleshoot and improve performance.
• Join client and internal team meetings to understand requirements, context, and timelines.
• Contribute to process improvements, documentation, and workflow efficiency within a collaborative engineering culture.

What you bring to the team

• Interest in healthcare data and curiosity about how data moves through pipelines and platforms.
• Ability to write SQL queries for analysis, profiling, validation, and basic performance tuning.
• Analytical, problem-solving mindset and willingness to learn new tools/approaches.
• Clear communication skills with both technical and non-technical stakeholders.
• Strong organization skills and comfort juggling multiple tasks/priorities.

What we would like to see, but not required

• Exposure to cloud platforms and modern data engineering tooling (e.g., PySpark/Databricks concepts).
• Familiarity with Snowflake or cloud data warehouses/services.
• Prior internship/project experience working with large datasets, ETL/ELT, or data quality testing concepts.

Compensation: Compensation for this role is $30/hour or equivalent to $62,400 per annum.

What you’ll get in return

• Unlimited paid time off: recharge when you need it.
• Work from anywhere: flexibility to fit your life.
• Comprehensive health coverage: multiple plan options to choose from.
• Equity for every employee: share in our success.
• Growth-focused environment: your development matters here.
• Home office setup allowance: one-time support to get you started.
• Monthly cell phone allowance: stay connected with ease.

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.

We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.

Ready to make an impact? Join us and let’s build the future together.

About the Role

We’re hiring a Associate Data QA Engineer to join our Data Engineering/TechOps organization and learn alongside experienced engineers in a modern healthcare data platform environment. You’ll help validate, analyze, and deliver high-quality client data outputs—building foundational skills in data engineering, data quality, and SQL while contributing to real client implementations.

This is an early-career opportunity designed for recent graduates who are excited to build a foundation in data engineering, healthcare data, and client-facing delivery. As a trusted partner to the team, you will support client adoption of Abacus’s data management offerings while developing hands-on experience in data analysis, mapping, SQL, data quality, and cloud-based data services.

We welcome applications from new graduates, including candidates currently authorized to work in the United States under F-1 Optional Practical Training (OPT). Candidates must be authorized to work in the United States at the time of hire.

Location: Pacific Time Zone preferred. Candidates outside PST must be able to work core hours aligned to Pacific Time.

Your day to day

• Partner with clients and implementation teams to understand data distribution needs and expected outputs.
• Perform data analysis, data mapping, and validation of client deliverables.
• Build and maintain data extract scripts with guidance from senior engineers; troubleshoot and improve performance.
• Join client and internal team meetings to understand requirements, context, and timelines.
• Contribute to process improvements, documentation, and workflow efficiency within a collaborative engineering culture.

What you bring to the team

• Interest in healthcare data and curiosity about how data moves through pipelines and platforms.
• Ability to write SQL queries for analysis, profiling, validation, and basic performance tuning.
• Analytical, problem-solving mindset and willingness to learn new tools/approaches.
• Clear communication skills with both technical and non-technical stakeholders.
• Strong organization skills and comfort juggling multiple tasks/priorities.

What we would like to see, but not required

• Exposure to cloud platforms and modern data engineering tooling (e.g., PySpark/Databricks concepts).
• Familiarity with Snowflake or cloud data warehouses/services.
• Prior internship/project experience working with large datasets, ETL/ELT, or data quality testing concepts.

Compensation: Compensation for this role is $30/hour or equivalent to $62,400 per annum.

What you’ll get in return

• Unlimited paid time off: recharge when you need it.
• Work from anywhere: flexibility to fit your life.
• Comprehensive health coverage: multiple plan options to choose from.
• Equity for every employee: share in our success.
• Growth-focused environment: your development matters here.
• Home office setup allowance: one-time support to get you started.
• Monthly cell phone allowance: stay connected with ease.

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

Job Title: Senior Business Analyst - Utilities | FSM / ERP Implementations (Multiple positions available)

Company: Celerity Consulting Group

Location: Remote (work from home eligible)

Salary: $100,000 - $120,000 annually DOE

Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients.

Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency.

Key Responsibilities:

Requirements Gathering and Analysis:

• Engage with clients to understand and document their business processes, needs, and objectives related to field service operations.
• Analyze and translate business requirements into functional specifications for enterprise solutions.
• Conduct gap analyses to identify areas where current systems fall short of client needs.

Solution Design and Implementation:

• Collaborate with technical teams to design solutions that align with client requirements and industry best practices.
• Assist in configuring and customizing tools to meet specific client needs.
• Develop and execute test plans to ensure solutions meet specified requirements and quality standards.

Stakeholder Communication and Management:

• Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle.
• Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in.
• Prepare and deliver presentations and reports to clients and internal stakeholders.

Process Improvement and Optimization:

• Identify opportunities to enhance client business processes through the effective use of FSM solutions.
• Recommend best practices and innovative solutions to improve field service operations and efficiency.
• Monitor solution performance and suggest enhancements based on data analysis and client feedback.

Testing

• Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases.
• Experience logging, tracking, prioritizing and validating defects.
• Experience guiding new users through individual and collaborative UAT sessions.
• Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project.

Training and Support:

• Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions.
• Provide ongoing support to clients’ post-implementation to address issues and optimize solution usage

Educational Qualifications:

• Bachelor’s degree in Business Administration, Information Technology, Engineering, or a related field required.
• Advanced degree (MBA or Master’s) is preferred.

Required Skills and Experience:

• Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions.
• Demonstrated experience in requirements gathering, process analysis, and solution implementation.
• Hands-on experience with SQL to access, retrieve, manipulate, and analyze data.
• Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools.
• Strong understanding of utility operations, asset management, and field service management (REQUIRED)
• Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions.
• Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels.
• Strong project management skills, with the ability to manage multiple priorities and meet deadlines.
• Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.)
• Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements.

Preferred Skills:

• Consulting background with experience in client-facing roles and managing stakeholder relationships.
• Proficiency in using FSM software platforms a plus.
• Familiarity with GIS integration and mobile workforce management solutions.
• Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management.
• Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP).

The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate’s qualifications and alignment with the role.

In accordance with applicable pay transparency laws—including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions—we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request.

This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws.

Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes:

HEALTH & WELL-BEING

• Medical Insurance
• Dental Insurance
• Vision Insurance

PEACE OF MIND

• Disability Insurance (STD/LTD)
• Flexible Spending Account
• Health Savings Account
• Basic Life/AD&D
• 401(k) plan

WORK/LIFE BALANCE

• Paid Time Off
• Company Holidays
• Leave of Absence
• Remote work and Flexible Work Schedules (for qualified positions)

ADDITIONAL PERKS

• Employee Referral Program
• Professional Development
• Charitable Contribution Match

Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field.

See full details and meet our leadership team on our website: https://www.consultcelerity.com/

Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans’ status or other status protected by applicable law.

Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

As a Senior Business Analyst at phData, you act as the bridge between complex business challenges and innovative technical solutions. You will challenge the status quo, lead with AI, and guide stakeholders through AI and digital transformations to ensure every dollar spent on technology delivers measurable business value.

Core Responsibilities

Executive & Stakeholder Discovery

• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
• Understand enterprise business strategy and align solutions to clear business outcomes.

Process & Value Stream Design

• Map “As-Is” and “To-Be” value streams and business processes
• Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows.
• Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization.

Requirements for Data, AI & GenAI

• Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features.
• Capture business rules, decision logic, and user journeys.
• Define data requirements (sources, quality, latency, privacy constraints).
• Specify model behavior, guardrails, and human-in-the-loop interactions.
• Address non-functional needs (performance, explainability, auditability, SLAs).

Delivery, Change & Outcomes

• Navigate complex organizational hierarchies and goals to build consensus.
• Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications.
• Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).
• Own the quality and readiness of BA deliverables and coach project team members.
• Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics.

AI-Enabled BA Practice & Client Relationships

• Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design—letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states.
• Establish, grow, and maintain strong customer relationships as a trusted advisor.

Qualifications

• 6+ years of experience in business analysis or product development in the data and analytics industry.
• 4+ years of experience in a client-facing consulting environment.
• Demonstrated ability to facilitate interviews and workshops across multiple domains and organizational levels, translating ambiguous needs into clear, structured requirements and user stories.
• Exceptional communication and presentation skills, able to explain complex topics to non-technical stakeholders.
• Expertise in Agile life cycles and tools (e.g., Jira, Azure DevOps, Confluence, Visio or similar).
• Hands-on experience leveraging AI to accelerate day-to-day BA activities in client delivery.
• Understanding of adoption and change management approaches and familiarity with industry-standard strategy frameworks.
• Comfortable with ambiguity, with strong curiosity for the “why” behind the “what.”
• Proven ability to coach and mentor others and contribute to reusable BA artifacts.
• Strong analytical and problem-solving skills.
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients.

#LI-DNI

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

This position will be offered as direct employment with phData’s Brazil entity under the Brazilian CLT regime, with compensation and statutory benefits structured accordingly.

Role Overview

We are looking for a Senior Analytics Consultant to join our Analytics team. In this role, you will lead end-to-end analytics workstreams and build scalable Power BI solutions that help our clients realize measurable value from their data. You will collaborate closely with client stakeholders, internal delivery teams, and account leaders to translate business needs into intuitive, actionable analytics products. You will help shape how clients use Power BI and modern data platforms to drive better decisions and business outcomes.

Key Responsibilities

• Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Power BI solutions.
• Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions that reflect each client’s business context and data environment.
• Guide day-to-day client interactions by facilitating working sessions, aligning stakeholders on priorities and risks, and ensuring clear expectations, status, and decisions.
• Define what good looks like for analytics deliverables, reviewing solutions for technical quality, usability, performance, and alignment to best practices in Power BI and modern analytics architecture.
• Partner with account and practice leaders to identify new use cases, extension opportunities, and accelerators that deepen client value and support growth of the Analytics practice.

About You

You are a client-focused analytics practitioner who enjoys leading delivery and solving complex data problems with practical, well-designed solutions. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 4+ years of experience delivering data analytics and data visualization solutions in an enterprise environment, including ownership of analytics projects or workstreams from kickoff through completion.

Technical / Functional Skills

• Strong Power BI development skills, including semantic/data modeling, DAX, Power Query, data visualization, and performance optimization.
• Experience with Power BI Service administration, including workspace strategy, security roles, access management, deployment practices, and platform configuration.
• Strong SQL skills with experience working with data warehouses, data marts, semantic models, and analytical data structures.
• Experience with data preparation and transformation using Alteryx or KNIME, or similar tools such as Matillion, Dataiku, or Coalesce.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements, and to communicate recommendations and risks to both technical and business stakeholders.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• 2+ years of external consulting experience delivering analytics, business intelligence, or data platform solutions.
• Experience scaling Power BI across an enterprise, including governance, operating models, adoption, performance, and platform optimization.
• Experience with Power Automate, Power Apps, Copilot Studio, Tableau, Sigma, Snowflake, or other modern data and analytics platforms.
• Experience contributing to solution estimates, staffing plans, utilization planning, workstream-level budget management, and mentoring or leading small delivery teams.
• Power BI certification, such as Microsoft Certified: Power BI Data Analyst Associate, and experience developing reusable analytics accelerators, frameworks, templates, or enablement materials.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

As a Senior Business Analyst at phData, you act as the bridge between complex business challenges and innovative technical solutions. You will challenge the status quo, lead with AI, and guide stakeholders through AI and digital transformations to ensure every dollar spent on technology delivers measurable business value.

Core Responsibilities

Executive & Stakeholder Discovery

• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
• Understand enterprise business strategy and align solutions to clear business outcomes.

Process & Value Stream Design

• Map “As-Is” and “To-Be” value streams and business processes
• Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows.
• Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization.

Requirements for Data, AI & GenAI

• Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features.
• Capture business rules, decision logic, and user journeys.
• Define data requirements (sources, quality, latency, privacy constraints).
• Specify model behavior, guardrails, and human-in-the-loop interactions.
• Address non-functional needs (performance, explainability, auditability, SLAs).

Delivery, Change & Outcomes

• Navigate complex organizational hierarchies and goals to build consensus.
• Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications.
• Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).
• Own the quality and readiness of BA deliverables and coach project team members.
• Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics.

AI-Enabled BA Practice & Client Relationships

• Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design—letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states.
• Establish, grow, and maintain strong customer relationships as a trusted advisor.

Qualifications

• 6+ years of experience in business analysis or product development in the data and analytics industry, including at least one year in a client-facing consulting environment.
• Demonstrated ability to facilitate interviews and workshops across multiple domains and organizational levels, translating ambiguous needs into clear, structured requirements and user stories.
• Exceptional communication and presentation skills, able to explain complex topics to non-technical stakeholders.
• Expertise in Agile life cycles and tools (e.g., Jira, Azure DevOps, Confluence, Visio or similar).
• Hands-on experience leveraging AI to accelerate day-to-day BA activities in client delivery.
• Understanding of adoption and change management approaches and familiarity with industry-standard strategy frameworks.
• Comfortable with ambiguity, with strong curiosity for the “why” behind the “what.”
• Proven ability to coach and mentor others and contribute to reusable BA artifacts.
• Strong analytical and problem-solving skills.

#LI-DNI

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Job Title: Senior Business Analyst - Utilities | FSM / ERP Implementations (Multiple positions available)

Company: Celerity Consulting Group

Location: Remote (work from home eligible)

Salary: $100,000 - $120,000 annually DOE

Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients.

Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency.

Key Responsibilities:

Requirements Gathering and Analysis:

• Engage with clients to understand and document their business processes, needs, and objectives related to field service operations.
• Analyze and translate business requirements into functional specifications for enterprise solutions.
• Conduct gap analyses to identify areas where current systems fall short of client needs.

Solution Design and Implementation:

• Collaborate with technical teams to design solutions that align with client requirements and industry best practices.
• Assist in configuring and customizing tools to meet specific client needs.
• Develop and execute test plans to ensure solutions meet specified requirements and quality standards.

Stakeholder Communication and Management:

• Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle.
• Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in.
• Prepare and deliver presentations and reports to clients and internal stakeholders.

Process Improvement and Optimization:

• Identify opportunities to enhance client business processes through the effective use of FSM solutions.
• Recommend best practices and innovative solutions to improve field service operations and efficiency.
• Monitor solution performance and suggest enhancements based on data analysis and client feedback.

Testing

• Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases.
• Experience logging, tracking, prioritizing and validating defects.
• Experience guiding new users through individual and collaborative UAT sessions.
• Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project.

Training and Support:

• Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions.
• Provide ongoing support to clients’ post-implementation to address issues and optimize solution usage

Educational Qualifications:

• Bachelor’s degree in Business Administration, Information Technology, Engineering, or a related field required.
• Advanced degree (MBA or Master’s) is preferred.

Required Skills and Experience:

• Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions.
• Demonstrated experience in requirements gathering, process analysis, and solution implementation.
• Hands-on experience with SQL to access, retrieve, manipulate, and analyze data.
• Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools.
• Strong understanding of utility operations, asset management, and field service management (REQUIRED)
• Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions.
• Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels.
• Strong project management skills, with the ability to manage multiple priorities and meet deadlines.
• Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.)
• Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements.

Preferred Skills:

• Consulting background with experience in client-facing roles and managing stakeholder relationships.
• Proficiency in using FSM software platforms a plus.
• Familiarity with GIS integration and mobile workforce management solutions.
• Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management.
• Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP).

The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate’s qualifications and alignment with the role.

In accordance with applicable pay transparency laws—including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions—we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request.

This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws.

Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes:

HEALTH & WELL-BEING

• Medical Insurance
• Dental Insurance
• Vision Insurance

PEACE OF MIND

• Disability Insurance (STD/LTD)
• Flexible Spending Account
• Health Savings Account
• Basic Life/AD&D
• 401(k) plan

WORK/LIFE BALANCE

• Paid Time Off
• Company Holidays
• Leave of Absence
• Remote work and Flexible Work Schedules (for qualified positions)

ADDITIONAL PERKS

• Employee Referral Program
• Professional Development
• Charitable Contribution Match

Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field.

See full details and meet our leadership team on our website: https://www.consultcelerity.com/

Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans’ status or other status protected by applicable law.

Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time.

Company Description

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This is a remote position. Candidates may reside anywhere in the United States.

AbbVie’s Analytics and Performance Excellence (APEX) function is seeking a highly strategic, analytical, and collaborative Associate Director to provide analytics leadership for the Business Evolution Strategic Development (BESD) Team. This role will drive impactful business analytics and insights to help AbbVie anticipate and navigate evolving healthcare environments, especially focusing on market access and policy disruptors.

The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie’s diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment.

Key Responsibilities:

• Lead the planning and execution (hands-on performing) of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for AbbVie leadership.
• Identify payer opportunities/threats through deep dive analytics (‘Follow the Dollar’, claims analysis, and scenario modeling).
• Foster positive relationships and close collaboration with teams including Government Affairs, Finance, Legal, Corporate Affairs, Brand, and Market Access.
• Communicate complex findings and insight-driven narratives to senior leadership and cross-functional teams, enabling improved payer knowledge and strategic decision-making.
• Monitor external environment and translate emerging trends (political, regulatory, legislative, commercial) into strategic recommendations for AbbVie’s business evolution.
• Advise on analytics infrastructure enhancements to drive business impact.

Skills

• Action and Accountability: Own responsibility for activities within relevant workstreams, and engage and inspire cross functional stakeholders to advance towards clear objectives and strategies; make quick, but informed decisions, as appropriate, to ensure best paths forward in the midst of change market and policy dynamics.  Constantly engage, guide, and support cross-functional team to address roadblocks, challenges, resourcing constraints and other dynamics.
• Leadership and Influence: Influence and persuade across multiple external and internal stakeholders.
• Collaboration and Teamwork: Work effectively with internal stakeholders, external market experts and partners.

Qualifications

• Bachelor’s degree required; master’s degree (MBA or related business/science) preferred.
• 10+ years of progressive hands-on analytical/ insights experience in healthcare industry (pharma, consulting, government affairs, market access, public policy, etc.).
• 5+ years hands-on analytical/ insights experience in pharmaceutical market access experience with deep understanding of Health Plans, PBMs, Hospitals, Specialty Pharmacies, and healthcare policy stakeholders. Strong insurance channel experience and understanding (i.e. Medicare, Commercial etc.)
• Strong business acumen, strategic and analytical thinking, and executive presence.
• Exceptional communication and influencing skills, with the ability to distill complex information into compelling, concise messages.
• Strong organizational skills, flexibility, attention to detail, and experience in collaborative, dynamic environments. Exceptional communications and executive presence, critical thinking and interpersonal skills, strong ability to influence without authority, the ability to speak and write persuasively and with clarity, strong organizational skills, flexibility, and adaptability to changing requirements, resourcefulness and creativity, strong attention to detail, a proven track record of being able to work drive towards deadlines and an ability to work collaboratively in a fluid organizational and external environment. Must be an individual who works well in a team environment and enjoys working in a collegial, collaborative and fun, yet highly demanding culture

Preferred:

• Experience in hands-on analytics/ insights related to policy shaping, price reform strategy, and enterprise-level stakeholder partnership.
• Proficiency with pharmaceutical data sources (formulary, claims).

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This is a remote position. Candidates may reside anywhere in the United States.

AbbVie’s Analytics and Performance Excellence (APEX) function is seeking a highly strategic, analytical, and collaborative Associate Director to provide analytics leadership for the Business Evolution Strategic Development (BESD) Team. This role will drive impactful business analytics and insights to help AbbVie anticipate and navigate evolving healthcare environments, especially focusing on market access and policy disruptors.

The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie’s diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment.

Key Responsibilities:

• Lead the planning and execution (hands-on performing) of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for AbbVie leadership.
• Identify payer opportunities/threats through deep dive analytics (‘Follow the Dollar’, claims analysis, and scenario modeling).
• Foster positive relationships and close collaboration with teams including Government Affairs, Finance, Legal, Corporate Affairs, Brand, and Market Access.
• Communicate complex findings and insight-driven narratives to senior leadership and cross-functional teams, enabling improved payer knowledge and strategic decision-making.
• Monitor external environment and translate emerging trends (political, regulatory, legislative, commercial) into strategic recommendations for AbbVie’s business evolution.
• Advise on analytics infrastructure enhancements to drive business impact.

Skills

• Action and Accountability: Own responsibility for activities within relevant workstreams, and engage and inspire cross functional stakeholders to advance towards clear objectives and strategies; make quick, but informed decisions, as appropriate, to ensure best paths forward in the midst of change market and policy dynamics.  Constantly engage, guide, and support cross-functional team to address roadblocks, challenges, resourcing constraints and other dynamics.
• Leadership and Influence: Influence and persuade across multiple external and internal stakeholders.
• Collaboration and Teamwork: Work effectively with internal stakeholders, external market experts and partners.

Qualifications

• Bachelor’s degree required; master’s degree (MBA or related business/science) preferred.
• 10+ years of progressive hands-on analytical/ insights experience in healthcare industry (pharma, consulting, government affairs, market access, public policy, etc.).
• 5+ years hands-on analytical/ insights experience in pharmaceutical market access experience with deep understanding of Health Plans, PBMs, Hospitals, Specialty Pharmacies, and healthcare policy stakeholders. Strong insurance channel experience and understanding (i.e. Medicare, Commercial etc.)
• Strong business acumen, strategic and analytical thinking, and executive presence.
• Exceptional communication and influencing skills, with the ability to distill complex information into compelling, concise messages.
• Strong organizational skills, flexibility, attention to detail, and experience in collaborative, dynamic environments. Exceptional communications and executive presence, critical thinking and interpersonal skills, strong ability to influence without authority, the ability to speak and write persuasively and with clarity, strong organizational skills, flexibility, and adaptability to changing requirements, resourcefulness and creativity, strong attention to detail, a proven track record of being able to work drive towards deadlines and an ability to work collaboratively in a fluid organizational and external environment. Must be an individual who works well in a team environment and enjoys working in a collegial, collaborative and fun, yet highly demanding culture

Preferred:

• Experience in hands-on analytics/ insights related to policy shaping, price reform strategy, and enterprise-level stakeholder partnership.
• Proficiency with pharmaceutical data sources (formulary, claims).

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Headquarters: Remote
URL: https://www.airbnb.com/

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

“Our real innovation is not allowing people to book a home; it’s designing a framework to allow millions of people to trust one another. Trust is the real energy source that drives Airbnb…” 

- Brian Chesky, Airbnb Co-Founder & CEO (2019)

Data science is the engine behind Airbnb's most impactful decisions. The Platform Data Science team accelerates product evolution and business outcomes by combining scientific rigor with deep domain expertise,  spanning experimentation, machine learning, causal inference and scalable intelligence.

We partner closely with product, engineering, policy, and operations teams across Trust to detect and defend against the adversarial behavior that threatens guest and host trust: fraudulent listings and fake inventory, review and content manipulation, account takeover, and other bad-actor activity on the platform. Whether measuring the impact of a new listing integrity defense, modeling risk at the listing or account level, or evaluating the effectiveness of an enforcement policy, our work helps guests and hosts experience an Airbnb that is safer, smarter and more personalized.

The Difference You Will Make:

This role sits at the heart of some of Airbnb's most consequential data science challenges, where rigorous statistical thinking and applied ML directly shape platform outcomes. You will own high-visibility initiatives that require both technical depth and strong business judgment - work that is visible to leadership and has measurable impact on Airbnb's users and bottom line.

A Typical Day: 

The ideal candidate is a technically exceptional and strategically minded Data Scientist who can navigate ambiguity, drive clarity in complex problem spaces and influence product and policy decisions. You will own and drive initiatives such as:

• Inference & Measurement: Design and implement measurement and evaluation frameworks to understand the impact of Trust defense, and uncover opportunities for improvement
• Experimentation: Collaborating closely with cross-functional partners, lead the design and analysis of experiments and quasi-experiments in environments where standard A/B testing is challenging. 
• Modeling: Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML systems
• Insights and Strategy: Generate deep insights on the effectiveness of Trust defenses and translate them into clear strategic recommendations for product roadmap and policy decisions
• Communication & Collaboration: Deliver robust, leadership-ready research with rigorous analysis, compelling data visualizations, and clear narratives; effectively communicate complex methodological tradeoffs to both technical and non-technical audiences across product, engineering, policy and operations
• Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes

Your Expertise:

• 5+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or 2+ years of experience with PhD in relevant fields.
• Deep expertise in experimentation and causal inference. 
• Strong knowledge of Bayesian modeling and its application to measurement, uncertainty quantification, and decision-making
• Proven ability to design and lead experimentation programs in complex environments, collaborating with and influencing cross-functional stakeholders. 
• Skilled in statistical programming and database usage. Strong coding skills in SQL and python or R. 
• Demonstrated ability to translate complex methodological findings into actionable insights and compelling narratives for audiences of varying technical levels
• Excellent judgment in navigating ambiguity, scoping problems, and driving impact through influence across cross-functional teams

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range $179,000—$210,000 USD

To apply: https://weworkremotely.com/remote-jobs/airbnb-senior-data-scientist-trust-inference

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

This position will be offered as direct employment with phData’s Brazil entity under the Brazilian CLT regime, with compensation and statutory benefits structured accordingly.

Role Overview

We are looking for a Senior Analytics Consultant (Looker) to join our Analytics team. In this role, you will help clients in Brazil and across LATAM gain tangible value from their data by designing and delivering impactful Looker-based analytics and visualization solutions. You will translate business needs into actionable, scalable analytics experiences that enable self-service and better decision-making. You will collaborate closely with client stakeholders and internal delivery teams to ensure high-quality outcomes and advance phData’s delivery excellence.

Key Responsibilities

• Lead the delivery of Looker-centric analytics engagements, translating business requirements into prototypes, dashboards, and production-grade visualization solutions that drive measurable business outcomes.
• Own client communication for your workstreams, including status updates and working sessions, to manage expectations, gather feedback, and ensure alignment on priorities and success criteria.
• Drive the design, development, and optimization of LookML models, data structures, and SQL queries to ensure performant, reliable, and user-friendly analytics experiences.
• Guide clients on best practices for data visualization, data preparation, and overall analytics architecture, recommending improvements that enhance usability, scalability, and maintainability.
• Contribute to backlog refinement and issue resolution by analyzing, troubleshooting, and tuning Looker solutions and related data pipelines to improve performance and reliability.

About You

You are a client-focused analytics practitioner who enjoys turning complex data into clear, actionable insights for business users. You are comfortable working in a fast-paced, outcomes-driven environment and collaborating with distributed, global teams. You thrive on learning new tools and approaches, and you communicate effectively with both technical and non-technical stakeholders.

Required Qualifications

Experience

• 3+ years of relevant experience and/or demonstrated expertise in data analytics and data visualization platforms in an enterprise environment.

Technical / Functional Skills

• Strong data visualization skills using Looker, including LookML development, dashboard creation, and advanced visualization techniques.
• Proficiency in SQL, working with data warehouses, data marts, and analytical data models to support scalable reporting solutions.
• Experience with data preparation tools such as Alteryx or KNIME (or similar platforms) to shape, enrich, and optimize data for analytics use cases.
• Knowledge of related BI and analytics tools such as Sigma, Tableau, Power BI, Omni, or dbt.
• Demonstrated data fluency and ability to clearly communicate analytical concepts and insights to business users.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• 2+ years of consulting experience working directly with external or internal clients on analytics or BI initiatives.
• Looker certification (LookML Developer or equivalent) and experience with Looker administration, including managing permissions, user access, security roles, and infrastructure setup.
• Experience integrating Looker with other analytics platforms or embedding Looker in business applications.
• Familiarity with cloud data platforms such as Snowflake, GCP, AWS, or Azure.
• Previous experience leading teams of consultants to ensure performance, utilization, and successful project delivery.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

This is a fully remote opportunity with hybrid available to those local to Boston.

Gradient AI:

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact.Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable.Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry.  We are backed by $56M in Series C funding and scaling fast – and it’s an exciting time to join the team!

About the Role:

We are looking for a Senior Data Scientist to advance our core AI models and drive them to market in collaboration with data science, product, and engineering partners. In this role, you will own well-scoped models end-to-end – working independently to ship measurable uplift on the AI capabilities at the heart of our products.

How you will make an impact:

• Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift.
• Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly.
• Everything you would expect on a world-class data science team solving world-class problems.  Big data.  Federated learning.  Unstructured data challenges.  Timeseries and sequence modelling.  A self-serve buffet of techniques from GLMs to XGBoost to Transformers.
• Tell stories with your data.  Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line.

Who you are and why we want to work with you:

• You like getting things over the line.  You have an insatiable desire to deliver value now and improve next.  MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away.
• You are not a software engineer, but you give them a run for their money.  You prefer Python to R and don’t understand why there is still a debate.  Jupyter is a necessary evil, and you’ve never met a command line that scared you away.
• You still do a better job than Claude, and you’re skeptical of your friends who say they never code any more.
• You love to take initiative and spearhead new projects, even if they are not well defined.
• You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team.  Reuse is a strategy, not a buzzword.

Skills needed to succeed:

• Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience building predictive models
• OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 1-2 years of professional data science experience building predictive models
• Hands-on comprehensive experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern AI architectures (e.g., Transformers, Neural Networks, LLMs).
• Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.)
• Strong technical communication and collaboration skills within agile squads and DS leadership
• Familiarity with SQL, Relational databases, and cloud environments like AWS/Azure/Google/Databricks
• MLOps and hands-on experience taking models from notebook to production — Experiment tracking, packaging, containerization (Docker), model serving and APIs, CI/CD, and pipeline orchestration

Bonus Qualifications:

• Fluency with actuarial methods and working with actuaries is a plus
• Familiarity with healthcare and medical data
• Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

What We Offer:

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• Unlimited vacation days.
• Flexible schedule that supports working from home.
• Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
• Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $135,000-165,000k base salary annually.

This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

This is a fully remote opportunity with hybrid available to those local to Boston.

Gradient AI:

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact.Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable.Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry.We are backed by $56M in Series C funding and scaling fast – and it’s an exciting time to join the team!

About the Role:

We are looking for a Principal Data Scientist with deep, specialized expertise to lead our organization’s most complex and high-impact modelling and analytical initiatives. As a recognized technical authority, you will set modelling strategy across the organization, drive our most novel work, and raise the technical standard for how we build and ship models.

How you will make an impact:

• Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift.
• Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly.
• Everything you would expect on a world-class data science team solving world-class problems.  Big data.  Federated learning.  Unstructured data challenges.  Timeseries and sequence modelling.  A self-serve buffet of techniques from GLMs to XGBoost to Transformers.
• Tell stories with your data.  Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line.

Who you are and why we want to work with you:

• You like getting things over the line.  You have an insatiable desire to deliver value now and improve next.  MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away.
• You are not a software engineer, but you give them a run for their money.  You prefer Python to R and don’t understand why there is still a debate.  Jupyter is a necessary evil, and you’ve never met a command line that scared you away.
• You still do a better job than Claude, and you’re skeptical of your friends who say they never code any more.
• You love to take initiative and spearhead new projects, even if they are not well defined.
• You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team.  Reuse is a strategy, not a buzzword.

Skills needed to succeed:

• Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building predictive models
• OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models
• Expert-level knowledge of deep learning and ML algorithms and the core Python data science ecosystem.
• Strong communication and collaboration skills, particularly communicating with nontechnical stakeholders and leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly
• Deep experience with natural language, medical data, long-tail predictions, or similar related problem spaces
• Strong familiarity with all phases of the MLOps model lifecycle, with experience creating team standards and practices to enforce quality and speed
• Deep experience being accountable for model impact long term – from MLOps pipelines to monitor for drift, to KPI and impact monitoring, driving incremental and long-term improvements, triaging issues, addressing tech debt responsibly, etc.

Bonus Qualifications:

• Fluency with actuarial methods and working with actuaries is a plus
• Familiarity with healthcare and medical data
• Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

What We Offer:

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• Unlimited vacation days.
• Flexible schedule that supports working from home.
• Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
• Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $190,000-235,000k base salary annually.

This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.