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Data Analytics Senior Data Scientist – Customer Experience

Analyzes customer experience data and builds models to drive insights and decision-making for a skills development platform.

Senior Posted about 1 hour ago Jobicy AI
What this role involves
About Coursera Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered...
Read the full description
Data Analytics Research Analyst II

Conducts institutional research and data analysis to support Temple University's decision-making and assessment initiatives.

Mid Posted about 1 hour ago Jobicy AI
What this role involves
Research Analyst II – (26000594)Description Temple University’s Institutional Research & Assessment Department is searching for a Research Analyst II!Become a part of the Temple family and you will have access to the following:A...
Read the full description
Data Analytics Data Scientist, Product Analytics

Analyzes product data and metrics to inform product decisions across Meta's suite of applications.

Mid Posted about 1 hour ago Jobicy AI
What this role involves
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By...
Read the full description
Data Analytics Senior Data Scientist – Customer Experience

Analyzes customer experience data and builds data models to drive business insights and inform product decisions.

Senior Posted about 1 hour ago Jobicy AI
What this role involves
About Coursera Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered...
Read the full description
Data Analytics Research Analyst II

Analyzes institutional data and produces reports to support Temple University's research and assessment initiatives.

Mid Posted about 1 hour ago Jobicy AI
What this role involves
Research Analyst II – (26000594)Description Temple University’s Institutional Research & Assessment Department is searching for a Research Analyst II!Become a part of the Temple family and you will have access to the following:A...
Read the full description
Data Analytics Data Engineer, Product Analytics

Builds and maintains data infrastructure and pipelines to support product analytics across Meta's applications.

Posted about 1 hour ago Jobicy AI
What this role involves
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs,...
Read the full description
Data Analytics Data Scientist, Product Analytics

Analyzes product data and metrics to inform product decisions across Meta's suite of applications.

Posted about 1 hour ago Jobicy AI
What this role involves
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By...
Read the full description
Data Analytics Proxify AB: Senior Data Scientist

Senior Data Scientist develops machine learning models and data tools to solve business problems, translating complex challenges into actionable insights for stakeholders.

Senior Remote Posted about 8 hours ago We Work Remotely — Programming
What this role involves

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

We are looking for a Senior Data Scientist for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.

 

What we are looking for:

  • 5+ years of hands-on experience in Data Science field
  • Experience using SAS, SQL, R and/or Python
  • Experience with Business Intelligence tools like Qlik/Tableau/Power BI is highly desirable
  • Strong stakeholder management skills including advanced PowerPoint and presentation skills
  • Exposure to Big Data technologies like Hadoop, Spark, Hive etc. is a plus
  • Applied knowledge of data science techniques
  • Hands-on experience in data mining and application of machine learning techniques
  • Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Responsibilities:

  • Develop tools to process data streams and static data
  • Translate business challenges into data science problems and applications
  • Communicate complex solutions in a clear, understandable way to non-experts
  • Design algorithms, build models and prototype solutions for multiple business areas
  • Build and maintain software solutions while contributing to large-scale object-oriented applications
  • Work on evolving data architectures and system solutions
  • Abstract complex business problems and determine how to use a combination of data to provide a clear, actionable and business-driven answer in a clear, compelling way



What we offer:

  Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.


Predictable project hours
Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.


Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.


Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.


Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions.


One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.


Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-scientist-2

Read the full description
Data Analytics Credit Data Science Specialist at Gympass

Develops and monitors predictive credit and churn models, builds data infrastructure, and creates dashboards to support credit and collections operations.

Mid Remote Posted about 19 hours ago RemoteFirstJobs Product
What this role involves

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we’re revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep-all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally.

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Credit Data Science Specialist in our Financial Solutions (New Initiatives) area in Brazil!

This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil.

We are looking for a hands-on person with solid credit knowledge to join the Credit and Collections team. More than a purely technical profile, we need someone curious, who wants to understand how the business works and support it with data, information, and insights.

The Data Scientist will work in partnership with data engineers to build a data lake that is useful for modeling and for generating credit and collections policies. This person will be able to move from raw data to proposing rich variable books and features for the business - turning information into strategic advantage.

Among their main responsibilities, this person will create, implement, and monitor predictive models, as well as develop a cockpit of operational and managerial indicators to track the health and performance of the Credit and Collections Operation.

YOUR IMPACT

  • Risk & Churn Predictive Modeling: Develop and monitor Credit Scoring and Churn models by leveraging transactional data from the Wellhub platform, including the calculation of revenue trends using linear regression and 99% confidence intervals.
  • AI-Driven Credit Automation: Implement Generative AI and advanced algorithms to automate the credit analysis process, ensuring scalability while maintaining strict compliance with eligibility criteria and internal validation rules.
  • Portfolio Strategy & Backtesting: Conduct quantitative studies and backtesting on portfolio behavior (Vintages, Roll Rates) to optimize credit limits, interest rate pricing, and proactive retention strategies.
  • Collection Efficiency & Recovery: Analyze debt recovery performance and build propensity-to-pay models to segment the external collection strategy, including the financial feasibility analysis for judicial actions.
  • Financial Performance Reporting: Design real-time dashboards to track critical KPIs such as First Payment Default (FPD), Provision for Doubtful Accounts (PDD), and the effectiveness of debt renegotiations.
  • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

  • Quantitative Education: Bachelor’s degree in Statistics, Engineering, Economics, Mathematics, or Computer Science.
  • Data Science & AI Proficiency: Experience in Python, applying regression and classification algorithms to financial forecasting, combined with an openness to working with a variety of AI tools to drive efficiency gains in data analysis and KPI generation.
  • Credit Risk Environment: Knowledge of credit lifecycles, including FPD (First Payment Default), Vintages, and SCR/Serasa data analysis.
  • Statistical Modeling: Proven ability to manage complex calculations, in addition to predictive modeling using statistical and machine learning concepts.
  • Collection & Recovery Strategy: Experience building propensity-to-pay models and conducting financial feasibility analysis for judicial versus extrajudicial collection.
  • Advanced Data Manipulation: Mastery of SQL for extracting insights from large-scale transactional datasets and managing internal/external validation databases.
  • Business English: Not mandatory, but considered a strong differential - proficiency in English supports collaboration with peer teams in other countries and helps navigate the global strategy of “Be Global, Be Fit, and Be Loved.”

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don’t match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in regression and classification algorithms for financial forecasting and data visualization, have a strong understanding of credit lifecycle metrics, including FPD (First Payment Default), Vintages, and SCR/Serasa, as well as experience managing complex calculations and developing predictive models using statistical and machine learning techniques are mandatory requirements.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life.

Our flexible benefits program allows you to customize some of the benefits, according to your needs!

Our benefits include:

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content.

HEALTHCARE: Health, dental, and life insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office.

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here.

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn !

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos.

#LI-REMOTE

Read the full description
Data Analytics Biz Ops Analyst - Bold.org at The Job Sauce

Analyzes revenue operations, partner performance, and financial metrics while automating growth processes using SQL and AI tools to drive profitability.

Mid Posted about 19 hours ago RemoteFirstJobs Product
What this role involves

Job Description - Business Operations Analyst

About Bold.org

With a mission of Fighting Student Debt, Bold.org is the fastest-growing student fintech platform in the United States. We’re a team of dozens, serving millions of students, with trillions in student debt at stake.

We operate at the intersection of fintech, education, philanthropy, and rewards, building products that meaningfully expand access to education. We are relentlessly focused on profitability, long-term retention, and building systems that scale sustainably. If that resonates, we’d love to meet you.

Position Description:

Reporting directly to the VP of Finance, you will work with the Growth, Product, and Executive Team of a high-growth fintech platform with 8M+ members, taking ownership of revenue analytics, partner success, and day-to-day revenue operations. You will focus on serving and scaling Bold.org’s key revenue partners, and will take on a mix of quantitative analysis, forecasting, partner-facing negotiation, and process automation.

Your primary goal will be to drive certainty and revenue growth in the core business, taking on many of the executive team’s current day-to-day responsibilities and freeing them up to focus on product and new business development.

This is a great role for a future entrepreneur or anyone looking to learn and own best practices for profitable, data-driven startup operations.

Role Responsibilities:

  • Revenue Partner Operations

    • Own day to day revenue operations, ensuring our partner goals, budgets, and KPIs are met.

    • Identify and execute revenue growth opportunities, increasing competition among partners bidding for placements, renegotiating pricing and terms with existing partners, and expanding placement volume.

  • Finance & Analysis

    • Own key areas of finance and growth analysis, including cohort analysis, LTV modeling, etc.

    • Turn analysis into recommendations that inform prioritization across marketing, revenue, and retention.

  • Systems & Automation

    • Automate the company’s most time-consuming growth and revenue operations processes, driving leverage across the entire company (including for yourself).

Required Skills:

  • Data analysis. You’re comfortable diving into open-ended data problems yourself and don’t generally need help pulling relevant data. You have strong SQL skills.

  • AI-driven engineering. You use tools like Claude Code, Codex, or Cursor regularly in most of your day-to-day workflows. You’re comfortable developing programs to automate your work.

  • Growth. You have a strong basis in growth first principles like conversion rate optimization, cohort analysis, funnel optimization, etc.

  • Finance. You have a strong foundation in forecasting and modeling.

  • Bandwidth. You’re very good at getting a lot done quickly with excellence.

  • Resourcefulness. You thrive in the chaos of startups and love making complicated, uncertain things simple.

  • Communication. You give and receive feedback directly and easily, and you’re generally great to work with. Our team is globally distributed and often works across time zones, so strong written and verbal communication skills are a must.

Background:

  • 2+ years of experience in a high-intensity, highly analytical role like investment banking or startup growth.

  • 1+ years of experience with digital marketing and tech startups.

  • You must have strong SQL skills. You must be comfortable working directly with our database, building your own dashboards, doing complex cohort and retention analysis, reasoning about data from multiple sources, etc.

  • Familiarity with analytics platforms like PostHog, Grafana, Clickhouse, etc. is a strong plus.

  • Please note that we don’t require a specific background. If you meet the required skills, we’d love to hear from you.

Location and Time Commitment

We are fully remote - you can work wherever you’re most productive. This is a high-ownership, high-freedom role. This means that it’s not a 9-5 and you’ll often need to go above and beyond. It also means that while we generally work in US time zones, we don’t care when exactly you’re working and encourage you to structure your day to support your ideal life.

Compensation

Our compensation packages are designed to make this your dream job for both the short and long term. Compensation for this role includes base salary and stock options. Benefits include medical, dental, vision, and unlimited PTO.

Read the full description
Data Analytics Clinical Business Intelligence Analyst (EPIC)-Sr

Leads design and development of BI/data analytics initiatives including data warehousing, mining, structuring, and visualization for healthcare organization.

Senior Posted about 19 hours ago Himalayas
What this role involves
Under limited supervision, the Business Intelligence Analyst will champion and provide leadership, and support for the ongoing design, development, and advancement of diverse BI/Data Analytics pursuits focused on data warehousing, data mining, data structuring, data analytics, advanced visualization, and related technologies in furthering the missions of UT Health San Antonio.
Read the full description
Data Analytics Actuarial Analyst at Clover Health

Analyzes healthcare financial data, builds predictive models, and creates dashboards to support actuarial decision-making for Medicare Advantage insurance products.

Junior Posted 2 days ago RemoteFirstJobs Product
What this role involves

We don’t just provide health insurance—we deliver the kind of healthcare that people deserve. The Actuarial team at Clover combines rigorous analytics with innovative technology to solve complex healthcare challenges and improve outcomes for our members. Our actuaries play a critical role in driving financial performance, evaluating business strategies, and helping shape the future of Medicare Advantage.

We’re looking for a highly analytical and intellectually curious Actuarial Analyst to join Clover’s actuarial rotational program. This role is designed to provide broad exposure to multiple actuarial disciplines while building a strong technical foundation in Medicare Advantage.

As an Actuarial Analyst, you’ll work alongside experienced actuaries and business leaders on projects spanning financial forecasting, reserving, medical economics, pricing, value-based care, revenue and risk adjustment analysis, and operational strategy. Through rotational assignments, you’ll develop a comprehensive understanding of the Medicare Advantage business while building the analytical, technical, and business skills needed for long-term success.

This role is ideal for candidates who enjoy solving challenging problems, working with large datasets, and using quantitative analysis to influence business decisions.

As an Actuarial Analyst, you will:

  • Perform quantitative analyses that support key actuarial functions, including financial forecasting, medical cost analysis, revenue optimization, reserving, pricing, risk adjustment, and value-based care initiatives.
  • Develop and maintain analytical models using actuarial principles, statistical methods, and large healthcare datasets to evaluate financial performance, identify trends, and support strategic decision-making.
  • Partner with actuaries and cross-functional business leaders to analyze operational and financial performance, investigate emerging trends, and develop data-driven recommendations.
  • Prepare reports, dashboards, and executive presentations that communicate complex analytical findings and support business planning, forecasting, and performance monitoring.
  • Support enterprise financial planning by analyzing medical costs, revenue drivers, risk adjustment performance, utilization trends, and other key business metrics across the Medicare Advantage business.
  • Identify opportunities to improve processes and automate analyses using SQL, Excel, Python, and other AI analytical tools.
  • Participate in rotational assignments across multiple actuarial disciplines to develop broad business knowledge and technical expertise while contributing to strategic initiatives across the organization.
  • Support special projects and innovation initiatives that improve healthcare affordability, operational performance, member outcomes, and enterprise financial results.

Success in this role looks like

  • In your first 90 days, you will: Build relationships across the Actuarial organization and become familiar with Clover’s Medicare Advantage business. Learn Clover’s analytical tools, financial models, and reporting processes. Contribute to recurring analyses while developing a strong understanding of actuarial methodologies and business operations.
  • After 6 months, you will: Independently own recurring analyses and deliver accurate, timely insights to support business decision-making. Develop technical expertise in actuarial modeling, healthcare analytics, and financial forecasting. Successfully complete your first rotational assignment while building relationships across multiple actuarial functions.
  • Future success in this role includes: Becoming a trusted analytical partner to business leaders and cross-functional teams. Developing expertise across multiple actuarial disciplines before transitioning into a specialized role. Continuing progress toward actuarial credentials while building a long-term career at Clover.

You should get in touch if you have :

  • Experience: 2-4 years of experience in healthcare finance, analytics, actuarial, consulting, strategy, operations, or a related field. Successful completion of one or more Society of Actuaries (SOA) exams is required.
  • Industry Knowledge: Experience in Medicare Advantage, managed care, or value-based healthcare preferred.
  • Analytical Skills: Strong quantitative, analytical, and problem-solving skills with the ability to work with large datasets and complex business questions.
  • Technical Skills: SQL and Excel skills required; experience with Python, R, AI tools, Github, and business intelligence platforms preferred.
  • Communication: Strong communication and presentation skills with the ability to translate complex analyses into actionable business insights.

Benefits Overview:

  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
  • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Remote-first culture, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we’ve created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people’s lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone’s responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is:

$90,000—$110,000 USD

Read the full description
Data Analytics Actuarial Analyst at Clover Health

Analyzes healthcare financial data, builds predictive models, and creates dashboards to support actuarial decision-making in Medicare Advantage operations.

Junior Posted 2 days ago RemoteFirstJobs Product
What this role involves

We don’t just provide health insurance—we deliver the kind of healthcare that people deserve. The Actuarial team at Clover combines rigorous analytics with innovative technology to solve complex healthcare challenges and improve outcomes for our members. Our actuaries play a critical role in driving financial performance, evaluating business strategies, and helping shape the future of Medicare Advantage.

We’re looking for a highly analytical and intellectually curious Actuarial Analyst to join Clover’s actuarial rotational program. This role is designed to provide broad exposure to multiple actuarial disciplines while building a strong technical foundation in Medicare Advantage.

As an Actuarial Analyst, you’ll work alongside experienced actuaries and business leaders on projects spanning financial forecasting, reserving, medical economics, pricing, value-based care, revenue and risk adjustment analysis, and operational strategy. Through rotational assignments, you’ll develop a comprehensive understanding of the Medicare Advantage business while building the analytical, technical, and business skills needed for long-term success.

This role is ideal for candidates who enjoy solving challenging problems, working with large datasets, and using quantitative analysis to influence business decisions.

As an Actuarial Analyst, you will:

  • Perform quantitative analyses that support key actuarial functions, including financial forecasting, medical cost analysis, revenue optimization, reserving, pricing, risk adjustment, and value-based care initiatives.
  • Develop and maintain analytical models using actuarial principles, statistical methods, and large healthcare datasets to evaluate financial performance, identify trends, and support strategic decision-making.
  • Partner with actuaries and cross-functional business leaders to analyze operational and financial performance, investigate emerging trends, and develop data-driven recommendations.
  • Prepare reports, dashboards, and executive presentations that communicate complex analytical findings and support business planning, forecasting, and performance monitoring.
  • Support enterprise financial planning by analyzing medical costs, revenue drivers, risk adjustment performance, utilization trends, and other key business metrics across the Medicare Advantage business.
  • Identify opportunities to improve processes and automate analyses using SQL, Excel, Python, and other AI analytical tools.
  • Participate in rotational assignments across multiple actuarial disciplines to develop broad business knowledge and technical expertise while contributing to strategic initiatives across the organization.
  • Support special projects and innovation initiatives that improve healthcare affordability, operational performance, member outcomes, and enterprise financial results.

Success in this role looks like

  • In your first 90 days, you will: Build relationships across the Actuarial organization and become familiar with Clover’s Medicare Advantage business. Learn Clover’s analytical tools, financial models, and reporting processes. Contribute to recurring analyses while developing a strong understanding of actuarial methodologies and business operations.
  • After 6 months, you will: Independently own recurring analyses and deliver accurate, timely insights to support business decision-making. Develop technical expertise in actuarial modeling, healthcare analytics, and financial forecasting. Successfully complete your first rotational assignment while building relationships across multiple actuarial functions.
  • Future success in this role includes: Becoming a trusted analytical partner to business leaders and cross-functional teams. Developing expertise across multiple actuarial disciplines before transitioning into a specialized role. Continuing progress toward actuarial credentials while building a long-term career at Clover.

You should get in touch if you have :

  • Experience: 2-4 years of experience in healthcare finance, analytics, actuarial, consulting, strategy, operations, or a related field. Successful completion of one or more Society of Actuaries (SOA) exams is required.
  • Industry Knowledge: Experience in Medicare Advantage, managed care, or value-based healthcare preferred.
  • Analytical Skills: Strong quantitative, analytical, and problem-solving skills with the ability to work with large datasets and complex business questions.
  • Technical Skills: SQL and Excel skills required; experience with Python, R, AI tools, Github, and business intelligence platforms preferred.
  • Communication: Strong communication and presentation skills with the ability to translate complex analyses into actionable business insights.

Benefits Overview:

  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
  • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Remote-first culture, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we’ve created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people’s lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone’s responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is:

$90,000—$110,000 USD

Read the full description
Data Analytics Strategic Analytics Fellow at BlueLabs

Analyze and interpret data, write SQL queries, and clean datasets to support strategic insights for political, nonprofit, and commercial clients.

Junior Posted 2 days ago RemoteFirstJobs Product
What this role involves

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About The Team:

The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams.

About The Role:

Fellows will be provided a chance to work directly with data scientists, strategists, analysts, and client leads on meaningful, hands-on work, while being guided and supported by their manager. Fellows will also be expected to complete a capstone project as part of their program with BlueLabs.

The Strategic Analytics Fellow will learn the ins and outs of the progressive analytics consulting space. They will gain exposure to all parts of our analytics process - from collecting and organizing data to using data to analyze trends and patterns that could become useful insights for our clients. Fellows will engage with work that focuses on some of the most important current political issues, all while building professional analytics experience and developing a wide range of technical skills that will be immensely valuable. Fellows will receive strong mentorship by working closely with our staff who have a broad range of knowledge in the analytics space.

The Strategic Analytics Fellow will work with BlueLabs for 12 weeks, with the option to be either full-time or part-time based on availability.

In this position you will:

  • Collect, clean, and upload datasets for use in analysis
  • Write simple ad-hoc SQL queries to assist with broader analysis
  • Conduct data uploads for surveys in the field for QC review
  • Assist with the creation of client deliverables, such as memos, presentations, and reports. This may include creating preliminary data visualizations, copy editing, and number-checking
  • Provide support on the creation of documentation and user guides for common internal reporting needs

What We Are Seeking:

  • Genuine passion for working with a progressive social impact organization
  • Eagerness to learn the fundamental techniques in data management, analysis, and visualization
  • Familiarity with - or interest in learning - a coding or statistical language such as SQL, Python, R, etc. (A successful candidate does not need to be an expert in a language coming in the door, but will need to primarily learn to code in SQL on-the-job with our team.)
  • Experience with presentation and spreadsheet software (Excel, PowerPoint, Keynote, Google Sheets, Google Slides, etc.)
  • Familiarity with - or interest in learning - how to communicate complex technical concepts to non-technical audiences
  • Enthusiasm to learn how to use data to tell a story
  • Curiosity about complex datasets and willingness to expand technical skill set

What We Offer

BlueLabs offers a friendly work environment and competitive benefits package including:

  • premier health insurance plan
  • paid time off
  • professional development & learning stipend
  • flexible working hours
  • remote/telecommuting options
  • and more!

BlueLabs is willing to complete paperwork for successful candidates who are students and are interested in earning academic credit for the fellowship experience with us.

The compensation for this role is $25 per hour.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

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Data Analytics Business Intelligence Engineer 2, Data Enablement

Designs and maintains data pipelines and analytics infrastructure to enable clinical program insights across care management and value-based operations.

Mid Posted 2 days ago Himalayas
What this role involves
Become a part of our caring community As a Business Intelligence Engineer 2 on the Data Enablement Team, you will have the opportunity to work on key datasets, pipelines, and automation in support of Care Management, Value Based Operations and other clinical programs focused on conditions including kidney disease, cancer, and heart disease.
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Data Analytics Salesforce Business Analyst

Analyzes Salesforce data and business processes to provide insights and support client decision-making across Nielsen's media operations.

Mid Posted 2 days ago Jobicy AI
What this role involves
Company DescriptionAt Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results....
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Data Analytics Mercury: Customer Support Systems & Analytics Architect

Architect data strategy and analytics infrastructure for customer support operations, building dashboards, defining data governance standards, and translating insights into actionable recommendations for leadership.

Senior Remote Posted 2 days ago We Work Remotely — Programming
What this role involves

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

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Data Analytics Senior Data Scientist, AI Product Insights at Mixpanel

Embed data science expertise into product engineering, developing AI-driven analytics features like causal inference signals, forecasting, and cohort detection.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

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.

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Data Analytics Senior Staff Data Scientist at Mozilla

Senior Staff Data Scientist leads strategic data initiatives, partners with executives on data-driven decisions, and mentors the data science team across Mozilla.

Lead Posted 3 days ago RemoteFirstJobs Product
What this role involves

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Data Science organization shapes Mozilla’s most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla’s long-term strategy.

What you’ll do:

  • Strategic Influence: Shape Mozilla’s most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy.
  • Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions.
  • Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution.
  • Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.

What you’ll bring:

  • Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences.
  • Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus.
  • Technical Mastery: Deep expertise in Python or R, SQL, statistics, and modern data science tooling. A strong foundation in analytical methods, paired with curiosity for emerging technologies and sound judgment about when to apply them.

What you’ll get:

  • Generous performance-based bonus plans to all eligible employees
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting
  • Quarterly all-company wellness days where everyone takes a pause together
  • Country specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-REMOTE

Req ID: R3163

Hiring Ranges:

Canada Tier 1 Locations

$191,000—$255,000 CAD

Canada Tier 2 Locations

$173,000—$231,000 CAD

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Data Analytics Senior Business Analyst at Dev Technology Group, Inc.

Senior Business Analyst validates operational requirements, facilitates stakeholder workshops, and maintains traceability between business needs and technical implementation for federal government scheduling systems.

Senior Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

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.

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