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

About Mixpanel

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com.

About the Team

The Proactive Insights team is a newly formed team at the center of Mixpanel’s AI-first analytics vision. With a greenfield charter, we’re building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you.

We answer the question every data-driven team asks: “What changed, why, and what should I do about it?” We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel.

Some examples of what we are building:

• Signals: Statistical analysis that automatically identifies which user behaviors cause downstream business outcomes — such as which actions genuinely improve 30-day retention — using causal inference to move beyond correlation
• Forecasting: Time-series modeling that projects whether a KPI (e.g. Signups) will hit its goal by end of quarter — including trend decomposition, seasonality adjustment, and confidence bands against a target.
• Simulation: Causal impact modeling that estimates how moving one metric (e.g. weekly sharing rate) by a given amount will ripple through to downstream KPIs like retention or revenue — giving teams a quantified basis for prioritization
• Cohort Detection: Automated identification of at-risk user cohorts by finding active users who resemble known churned segments across both behavioral patterns and descriptive characteristics, before they churn. Offline batch survival analysis models that estimate each user’s probability of a future outcome (e.g. likelihood to churn or convert within 30 days).

About the Role

As the first Data Scientist embedded in product engineering, you’ll champion integrating cutting-edge data science techniques into Mixpanel’s products and serve as a methodological resource for cross-functional teams tackling problems that benefit from deeper DS expertise — such as adaptive experimentation. You won’t just advise on Proactive Insights; you’ll be the analytical brain driving how Signals, Forecasting, Simulation, Predictions, and Cohort Detection actually work.

Your models are the reasoning layer behind an AI system that proactively tells customers what changed, why, and what to do next — and increasingly, the layer behind an agent that acts on their behalf. As more of this experience becomes agentic, rigorous causal grounding is what separates a trustworthy recommendation from a plausible-sounding one. You’ll be the person who makes sure it’s the former.

You’ll design and validate causal inference approaches that go beyond surface-level correlation, and partner on how those outputs get translated — often via LLMs — into clear, natural-language, actionable experiences for Mixpanel’s customers: you own the rigor, the system owns the explanation. You’ll partner closely with strong product engineers who own the implementation — your job is to make sure the methodology is rigorous, well-documented, and grounded in real outcomes. You’ll also collaborate cross-functionally with teams like AI platform, analysis, and data infrastructure to scale your analytic solutions beyond what you could build alone.

This is a high-impact, high-autonomy role on a small, fast-moving team. You’ll have significant influence over the analytical direction of a new product category at Mixpanel that helps thousands of companies understand what truly drives their most important metrics.

Responsibilities

• Own the end-to-end analytical design for Signals, Forecasting, Simulation, and Cohort Detection — including methodology selection, statistical validation, and iteration based on results
• Assess data quality and trust prerequisites before extending forecasting or predictive features to customers — a model is only as trustworthy as the data feeding it
• Design and apply causal inference methods to move beyond correlation and establish which user behaviors genuinely drive downstream business outcomes
• Build and own time-series forecasting models that project KPI trajectories against goals — extending our existing use of TimesFM into customer-facing forecasting features
• Build survival analysis and retention models that underpin Signals and Simulation outputs
• Develop clustering and behavioral similarity approaches for Cohort Detection that are both statistically sound and interpretable to end users
• Document methodology clearly — including assumptions, validation approaches, and expected output behavior — so engineers can implement reliably without ambiguity
• Review and validate that production results match expected statistical behavior, partnering with engineers on edge cases and anomalies
• Establish rigor around statistical significance, multiple testing correction, and uncertainty quantification so customers can trust what they see
• Work cross-functionally with internal stakeholders, including Finance and Data Science, to ensure analytical outputs are grounded in real business outcomes
• Communicate findings and methodology clearly to Product and Engineering — translating statistical concepts into plain language

We’re Looking For Someone Who Has

• MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field — or equivalent industry experience with demonstrated causal inference expertise
• 5+ years of experience applying statistical modeling to real-world product or business problems
• Hands-on causal inference experience — propensity score matching, regression discontinuity, difference-in-differences, or instrumental variables — with the judgment to choose the right method for a given problem
• Experience with survival analysis or retention modeling (e.g. Cox proportional hazards, Kaplan-Meier)
• Strong Python fluency across the analytical stack — statsmodels, scikit-learn, pandas, and equivalent libraries for survival analysis, clustering, and time-series modeling
• Experience with time-series forecasting methods — classical approaches (ARIMA, exponential smoothing) and/or modern foundation models such as TimesFM, Chronos, or similar
• Experience with clustering and similarity methods applied to behavioral or user data
• Strong statistical communication — you can explain a propensity score or a survival curve to a PM without losing them
• SQL fluency for data access, exploration, and validation
• Comfort working in a product environment where analytical rigor and practical delivery go hand in hand

Bonus Points For

• Experience working with large-scale behavioral event data (product analytics, growth, or similar domains)
• Familiarity with feature engineering from raw event streams
• Experience with structural equation modeling or causal DAGs for multi-metric impact modeling (directly applicable to Simulation)
• Familiarity with how offline batch analyses are productionized, even if you’re not implementing them yourself
• Comfort working directly in a production codebase alongside engineers
• Experience at an analytics, observability, or growth platform
• Experience evaluating or grounding LLM-generated explanations or recommendations against statistical outputs (e.g. hallucination or consistency checks on AI-generated insights)
• Comfort using AI coding tools (Claude Code, Cursor, etc.) to accelerate modeling iteration

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range

$226,000—$266,000 USD

Benefits and Perks

• Comprehensive Medical, Vision, and Dental Care
• Mental Wellness Benefit
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

*please note that benefits and perks for contract positions will vary*

Culture Values

• Make Bold Bets: We choose courageous action over comfortable progress.
• Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
• One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
• Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
• Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
• Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

Senior Business Analyst

Requirements Validation • Business Process Analysis • Stakeholder Partnership

Location: Fall Church, VA -  Client Site (Hybrid – onsite 3 days a week)

Clearance: US citizenship and the ability to obtain a DOJ public trust

A Role with Purpose and Impact

Dev Technology is supporting the modernization of a mission-critical scheduling and workflow solution for the federal government. This role exists to ensure that operational needs are understood, validated, prioritized, and translated into requirements that implementation teams can act on with confidence.

You will work closely with Government stakeholders, operational users, architects, developers, testers, and project leadership. The work calls for strong facilitation, disciplined analysis, and the judgment to uncover gaps, conflicts, dependencies, and risks before they become delivery issues.

This role is designed for a senior analyst who values partnership, clarity, and traceability — helping teams move from complex mission needs to practical, testable, and durable solutions.

Requirements Leadership and Operational Delivery

This role blends requirements leadership with hands-on delivery. You will:

• Validate, refine, prioritize, and baseline functional and non-functional requirements for phased implementation
• Facilitate stakeholder workshops to confirm operational workflows such as scheduling, assignment, reassignment, tracking, check-in/check-out, and invoicing
• Identify and document requirement gaps, conflicts, assumptions, dependencies, risks, and in-scope versus out-of-scope system boundaries
• Maintain the requirements traceability matrix and connect business needs to design, configuration, testing, and deployment outcomes
• Partner with technical teams to translate operational needs into workflows, business rules, roles, permissions, interfaces, and acceptance criteria

You will remain close to the work: preparing process models and requirements artifacts, supporting design reviews, coordinating user acceptance testing, and helping resolve defects or ambiguities throughout the delivery lifecycle.

Who Thrives Here

People who thrive in this role bring a thoughtful, grounded approach to delivery. They:

• Listen carefully and create shared understanding across business and technical audiences
• Ask thoughtful questions and surface missing information early
• Bring structure to ambiguity without losing sight of real operational needs
• Write clearly and maintain disciplined, usable requirements documentation
• Build trust through preparation, follow-through, and respectful facilitation
• Are comfortable working in a federal environment with formal reviews and approvals

This role offers the opportunity to shape a high-impact modernization effort from requirements validation through production deployment. You will influence how mission workflows are implemented, tested, and improved while helping Government and delivery teams make informed decisions.

Key Responsibilities

• Review and validate Government-provided business, functional, and non-functional requirements
• Conduct discovery sessions, interviews, workflow reviews, and formal requirements validation meetings
• Document current-state and future-state processes, business rules, use cases, user stories, and acceptance criteria
• Maintain the RTM and requirements baselines throughout the system development lifecycle
• Support configuration and design reviews and track stakeholder issues, concerns, concurrence, and approvals
• Develop or support UAT scenarios, test cases, and real-world operational validation
• Assist with defect triage, retesting, data mapping, migration validation, and operational readiness
• Identify AI-enabled requirements and distinguish optional AI-supported capabilities from core functionality
• Help ensure mission-essential workflows remain fully operable without AI features

Required Qualifications

• 8+ years of progressive business analysis experience supporting complex technology implementations
• Experience developing BRDs, requirements specifications, RTMs, process maps, user stories, use cases, and acceptance criteria
• Demonstrated experience leading stakeholder workshops and requirements reviews
• Experience supporting COTS, SaaS, PaaS, or configurable enterprise solutions
• Working knowledge of Agile, hybrid, and traditional SDLC methodologies
• Strong written communication, facilitation, analytical, and stakeholder-management skills
• Bachelor’s degree in business, information systems, public administration, or a related field, or equivalent experience

Preferred Qualifications

• Experience supporting federal government programs or justice/court operations
• Experience with scheduling, case management, workflow, or resource-assignment systems
• Experience supporting UAT, data migration, integrations, and production cutover
• Business analysis certification such as CBAP, CCBA, PMI-PBA, or equivalent

Our estimated salary range for this position is $76,000 - $140,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range.

Who We Are

Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.

As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:

• Generous and flexible time-off policy
• Flexible work schedules and telework options, including remote work availability for eligible projects
• Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
• Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
• 401K matching with a 5% matching contribution
• Regular team and company social events including our annual party, happy hours, fitness challenges, and more
• A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts
• To learn more about working at Dev Technology, visit Working At Dev Technology Group

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.

SMS Terms and Privacy Notice

Dev Technology Group offers you the option to engage in SMS text conversations about your job application. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. By opting-in to receiving SMS text messages about your job application, you acknowledge and agree that your consent data, mobile number, and personal information will be collected and stored solely for the purpose of providing you with updates and information related to your job application. No mobile information will be shared with third parties/affiliates for marketing/promotional purposes. All the above categories exclude text messaging originator opt-in data and consent; this information will not be shared with any third parties.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: London

About the Team

The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations.

Our goals are to:

• Democratize data & intelligence for humans and agents
• Build a context layer and an AI systems layer upon our unified data & content platform
• Support Cloudflare’s critical business needs

DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare’s entire business.

Role Summary

We are looking for an experienced Senior Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets.

Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default.

Role Responsibilities

• Own the development and maintenance of agent-ready curated datasets end-to-end
• Provide analytics support and a strategic perspective to our business partners
• Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems
• Review Merge Requests created by your team of humans and agents
• Take initiative to gather requirements, define, build, and maintain pipelines and metrics
• Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights

Role Requirements

• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
• Demonstrable proficiency with analytics-relevant AI-tooling
• 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders
• Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets (Candidates will be assessed on advanced SQL skills including window functions and common table expressions (CTEs))
• 3+ years experience working in version control environments using platforms such as Gitlab or Github
• 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer
• 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
• Initiative, curiosity, strong stakeholder engagement, and empathy
• Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders

Nice-to-Have Experience

• Experience and/or a keen interest in internet security, protocols, and edge-development
• Analytics experience in a fast-growing technology, SaaS, or subscription-based business
• Experience with statistical analysis programming languages (Python, R etc.)

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Type of Requisition:PipelineClearance Level Must Currently Possess: NoneClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required:NoneJob Family: Data Science and Data EngineeringJob Qualifications:Skills:Business Intelligence Strategy, Data Analytics, Enterprise Business IntelligenceCertifications:NoneExperience:10 + years of related experienceUS Citizenship Required:NoJob Description: Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.

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

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

• Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
• 5+ years of hands-on experience in Python and Java
• Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
• SQL proficiency for data exploration and analysis
• System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
• Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
• Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
• Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

• Experience with recommendation systems, ranking algorithms, or personalization at scale
• Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

• Design and build predictive customer behavior models for targeting and personalization
• Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
• Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
• Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
• Present findings to the product team and technical team leads in a clear and actionable way.
• Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
• Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

About The Role

As a Senior Data Analyst, you will partner closely with Product, Marketing, Engineering, and Leadership to shape how the company measures success, identifies growth opportunities, and makes data-informed decisions. You will develop scalable data models, establish analytical frameworks, and translate complex data into clear, actionable recommendations that influence product strategy and business outcomes. You will own analyses that evaluate product performance and customer behaviour, using cohort/retention analysis and funnel analytics to uncover what drives sustainable growth. You thrive as a generalist, moving seamlessly between evaluating the potential of new categories and diagnosing changes across established ones.

You Will:

• Serve as a technical expert and end-to-end owner of product data sources, analytics infrastructure, data models, and measurement frameworks

• Define and monitor KPIs that determine the health of a category (adoption, retention, conversion, unit economics, cross-sell, etc.)

• Partner with Product to evaluate feature adoption, identify opportunities, and influence roadmap prioritization through data

• Design measurement frameworks to evaluate product launches, experiments, and strategic initiatives

• Identify drivers of customer retention through cohort analysis and recommend opportunities to improve long-term engagement

• Improve analytical processes and automate recurring workflows that enable faster, more reliable product decision-making

• Lead the development and maintenance of dbt data models and orchestrations, ensuring accuracy, modularity, and performance optimization

• Build trusted, self-serve reporting and semantic data models that enable teams to answer questions independently

• Translate ambiguous business questions into structured analyses with clear recommendations and present those findings to senior stakeholders in a way that drives decisions

You Have:

• 5+ years of experience in data roles

• Expert SQL skills with experience writing performant, maintainable, and well-tested queries

• Experience building and maintaining analytics workflows with dbt

• Strong version control skills with Git

• Proven experience with retention/cohort analysis and funnel/conversion analysis

• Familiarity with statistical experimentation and A/B testing principles

• Experience working on new product, market, or category launches is a strong plus

• Strong project management and communication skills, with a results-oriented mindset

Benefits

• Full medical, dental and vision benefits

• Maternity/paternity policy

• 4 weeks vacation (3 weeks anytime + 1 week during the holidays)

• Competitive compensation

• Stock option grant

• Remote first, work from anywhere in Canada

• Professional development opportunities, working closely with founders and the senior leadership team

Open vacancy: This posting is for an existing vacancy at the company.

Our commitment to an inclusive team culture means embracing diversity and offering equitable access to opportunities and resources for people who might otherwise be excluded. During our recruitment process, we provide accommodations at any stage. Candidates can communicate their accommodation needs to the hiring manager directly or by emailing accessibility@felixforyou.ca.

Recruitment Fraud Alert

Please note: We have been made aware of fraudulent recruiting activities where individuals pose as Felix representatives.

• Communication: We will only ever contact you from an official @ felixforyou.ca email address.

• Interviews: All interviews are conducted via Google Meet; we never interview via text-only platforms (like Telegram or WhatsApp).

• Payments: We will never ask for credit card information, bank details, or payments for “equipment” or “onboarding” during the application process.

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

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

• Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
• 5+ years of hands-on experience in Python and Java
• Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
• SQL proficiency for data exploration and analysis
• System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
• Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
• Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
• Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

• Experience with recommendation systems, ranking algorithms, or personalization at scale
• Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

• Design and build predictive customer behavior models for targeting and personalization
• Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
• Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
• Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
• Present findings to the product team and technical team leads in a clear and actionable way.
• Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
• Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

Um dos maiores grupos de beleza do mundo, o Grupo Boticário é uma empresa brasileira presente em mais de 40 países.

About AlphaSense:  The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from...

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.

About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We’re proving that blockchain isn’t just theory - it’s powering real products used by hundreds of thousands of consumers and institutions.

By combining blockchain’s transparency and efficiency with AI-driven automation, we’ve reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes.

Together with our 170+ partners, we’ve originated over $22 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure’s ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.

We’re proud to be recognized as one of Forbes’ Most Innovative Fintech Startups in 2025 and Fast Company’s Most Innovative Companies in Finance and Personal Finance.

About the Role

Figure is hiring a Senior Financial Portfolio Analyst – Servicing to provide advanced financial analysis, portfolio performance monitoring, servicing cost modeling, compliance oversight, and forecasting for a servicing portfolio. This role supports cross-functional teams such as Servicing Operations, Capital Markets, Collections/Default, Investor Reporting, and Asset Management.

What You’ll Do

• Maintain and enhance servicing profit-and-loss models, including revenue streams, ancillary fees, sub-servicing costs, advances, late fees, recoveries, and corporate allocations.
• Support mortgage servicing rights (MSR) valuation by modeling discount rates, CPR/prepayment speeds, delinquency curves, and cost-to-service assumptions.
• Build dashboards tracking static pool performance, delinquency migration, modification outcomes, foreclosure metrics, and collection effectiveness.
• Forecast servicing revenue based on portfolio balance, runoff, payoffs, and interest-rate conditions; develop models for default expenses, foreclosure timelines, claim recoveries, and REO performance.
• Provide financial performance analysis, risk assessment, and compliance monitoring for servicing portfolios.
• Model escrow balances, interest earnings, advance recoverability, and servicing cost allocations by investor.
• Contribute financial insights to operational efficiency initiatives.
• Prepare monthly business review decks, variance analysis, margin analytics, and operational KPIs for senior leadership.

What We Look For

• Bachelor’s degree in Finance, Accounting, Statistics, Business, or related field.
• 4–7 years of mortgage FP&A, servicing analytics, or portfolio-analysis experience.
• Strong understanding of MSR economics, delinquency modeling, advance mechanics, and servicing cost structures.
• Experience with servicing systems such as MSP, Sagent, LoanServ, and data analysis tools such as SQL, Snowflake, Tableau, Power BI.
• Ability to work independently and manage complex workloads with strict deadlines.
• Adhere to all company security policies and data handling procedures.
• Complete mandatory security awareness training within required timeframes.
• Promptly report any suspected security incidents or suspicious activity to the Security team.

Preferred Qualifications

• Master’s degree (MBA or related)
• CPA or similar financial certification (preferred)

Salary

• Base Compensation Range: $85,360-$128,040/yr
• 25% annual bonus target, paid quarterly
• Company equity in the form of RSUs

This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate’s experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

Benefits

• Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans
• Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
• Employer-paid life and disability insurance
• 11 observed holidays and PTO plan
• Up to 12 weeks of paid family leave
• Continuing education reimbursement

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-JR1 #LI-Hybrid

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.

About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We’re proving that blockchain isn’t just theory - it’s powering real products used by hundreds of thousands of consumers and institutions.

By combining blockchain’s transparency and efficiency with AI-driven automation, we’ve reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes.

Together with our 170+ partners, we’ve originated over $22 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure’s ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.

We’re proud to be recognized as one of Forbes’ Most Innovative Fintech Startups in 2025 and Fast Company’s Most Innovative Companies in Finance and Personal Finance.

About the Role

Figure is hiring a Senior Financial Portfolio Analyst – Servicing to provide advanced financial analysis, portfolio performance monitoring, servicing cost modeling, compliance oversight, and forecasting for a servicing portfolio. This role supports cross-functional teams such as Servicing Operations, Capital Markets, Collections/Default, Investor Reporting, and Asset Management.

What You’ll Do

• Maintain and enhance servicing profit-and-loss models, including revenue streams, ancillary fees, sub-servicing costs, advances, late fees, recoveries, and corporate allocations.
• Support mortgage servicing rights (MSR) valuation by modeling discount rates, CPR/prepayment speeds, delinquency curves, and cost-to-service assumptions.
• Build dashboards tracking static pool performance, delinquency migration, modification outcomes, foreclosure metrics, and collection effectiveness.
• Forecast servicing revenue based on portfolio balance, runoff, payoffs, and interest-rate conditions; develop models for default expenses, foreclosure timelines, claim recoveries, and REO performance.
• Provide financial performance analysis, risk assessment, and compliance monitoring for servicing portfolios.
• Model escrow balances, interest earnings, advance recoverability, and servicing cost allocations by investor.
• Contribute financial insights to operational efficiency initiatives.
• Prepare monthly business review decks, variance analysis, margin analytics, and operational KPIs for senior leadership.

What We Look For

• Bachelor’s degree in Finance, Accounting, Statistics, Business, or related field.
• 4–7 years of mortgage FP&A, servicing analytics, or portfolio-analysis experience.
• Strong understanding of MSR economics, delinquency modeling, advance mechanics, and servicing cost structures.
• Experience with servicing systems such as MSP, Sagent, LoanServ, and data analysis tools such as SQL, Snowflake, Tableau, Power BI.
• Ability to work independently and manage complex workloads with strict deadlines.
• Adhere to all company security policies and data handling procedures.
• Complete mandatory security awareness training within required timeframes.
• Promptly report any suspected security incidents or suspicious activity to the Security team.

Preferred Qualifications

• Master’s degree (MBA or related)
• CPA or similar financial certification (preferred)

Salary

• Base Compensation Range: $85,360-$128,040/yr
• 25% annual bonus target, paid quarterly
• Company equity in the form of RSUs

This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate’s experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

Benefits

• Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans
• Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
• Employer-paid life and disability insurance
• 11 observed holidays and PTO plan
• Up to 12 weeks of paid family leave
• Continuing education reimbursement

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-JR1 #LI-Hybrid

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