Lead Data Analyst

Publicis Groupe · Westminster · $4,901–$4,919/month (stated in the posting)

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The Lead Statistician is responsible for the accurate and timely execution of analytic and statistical work supporting Epsilon clients, products, and revenue-generating initiatives. This role applies advanced statistical methods, develops analytic code, and delivers high-quality, well-documented outputs for assigned analytic workstreams.

Lead Statisticians operate as senior-level individual contributors who independently lead and execute complex analytic projects, support client and internal requests, collaborate with cross-functional partners, and provide guidance and direction to other team members in support of statistical deliverables. This position may have assigned clients for which the Lead Statistician is accountable for statistical deliverables. The role applies sound analytical judgment and follows established processes and standards across a broader scope of work, serves as a subject matter resource within the team, and contributes hands-on expertise to drive incremental improvements in analytic workflows, systems, and tools.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

• Accountable for the accurate, on-time delivery of statistical deliverables for assigned projects, including proactively managing workload and standard request queues within the Data Analytics team.
• Lead and implement analytic and research projects by confirming objectives, translating client or business needs into defined analytic approaches, applying appropriate methodologies, and delivering final analytic outputs.
• Independently build, validate, and present statistically sound models using standard tools, programs, and methodologies, making informed decisions under ambiguity and exercising judgment to identify when creative or non-standard approaches are required, when escalation is appropriate, and while providing guidance to others on analytic approaches and guidelines.
• Perform original research and contribute to research requests; maintain clear and comprehensive analytic documentation across the project lifecycle; and develop client-ready materials that clearly communicate findings, implications, and data-driven recommendations, exercising judgment and standing behind analytic conclusions while considering business, client, and operational tradeoffs.
• Consult with Sales personnel and external clients by participating in client meetings and conference calls, explaining statistical concepts, presenting analytic findings, and serving as a trusted analytic advisor.
• Work cross-functionally with internal teams, including Client Services, Data Acquisition & Performance, Modeling/Statistics, T&D, Production, and Product partners, to troubleshoot data, modeling, and process issues; build effective peer-level relationships; clearly explain root causes and recommended solutions; proactively identify and surface risks before they impact delivery; help drive alignment across collaborator groups; and facilitate consensus on analytic recommendations and project approaches.
• Support the development of peers through mentoring, knowledge sharing, training, and collaboration, contributing to team learning, skill development, and continuous improvement.
• Write new Python (and PySpark, where applicable) code, enhance and maintain existing codebases, apply relevant industry techniques and trends, evaluate emerging analytic approaches and technologies, and provide recommendations for improvements to modeling methodologies and analytic workflows.
• Ensure compliance with applicable privacy, data governance, and AI guidelines across all assigned analytic work, including the responsible use of AI-enabled tools to improve efficiency and accuracy where appropriate, while helping reinforce guidelines across the team.

• Bachelors in statistical, quantitative, or related field. Advanced degree preferred; minimum 5 years of experience in a statistical field, including experience performing data analysis or modeling with large transactional databases, conducting original research, and working directly with external clients in a business environment.
• Experience working with external clients in a business environment and familiarity with Epsilon compiled data assets processes and infrastructure, and direct marketing concepts preferred.
• Advanced knowledge of statistical methods and principles, including regression, clustering, factor analysis, ANOVA, sampling, inference, transformations, validation, model evaluation techniques, and statistical problem-solving in complex business environments.
• Demonstrated ability to lead analytic projects and research through all stages, including problem formulation, metric definition, methodology selection, execution, evaluation, collaborator communication, and final reporting.
• Proficiency in analytic programming and tools, including Python (and PySpark where applicable) and SQL, with the ability to independently implement analyses, understand, improve, and maintain existing codebases, review peer analytic work for quality and correctness, mentor less experienced analysts, and contribute to team standards and procedures; proficiency in Excel and PowerPoint to support analysis, reporting, and presentations.
• Experience demonstrating LLM- and AI-enabled tools to support analytic review, accelerate team workflows, enhance documentation and knowledge sharing, and find opportunities for process improvement, while ensuring adherence to governance and responsible-use standards.
• Proven ability to manage multiple projects concurrently, prioritize effectively, work independently with minimal oversight, navigate ambiguity, and balance competing business and client priorities while maintaining strong attention to detail and analytic difficulty.
• Excellent analytical, troubleshooting, communication, presentation, and consulting skills, including the ability to present complex analytic concepts clearly to technical and non-technical audiences, influence collaborators, collaborate effectively with cross-functional teams, mentor peers, and travel occasionally to meet clients.

When You Join Us, We’ll Create Something EPIC Together
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

• People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
• Collaboration: We work together, support one another, and collectively achieve goals.
• Growth: There are endless opportunities for growth through learning, development and career advancement.
• Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
• Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

• Act with integrity
• Work together to win together
• Innovate with purpose
• Respect all voices
• Empower with accountability

These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.  Our benefits encompass a wide range of offerings, including but not limited to the following:  

• Time to Recharge: Flexible time off (FTO), 15 paid holidays
• Time to Recover: Paid sick time  
• Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance  
• Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling  

Epsilon benefits are subject to eligibility requirements and other terms. 

Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #LI-NK1

• Accountable for the accurate, on-time delivery of statistical deliverables for assigned projects, including proactively managing workload and standard request queues within the Data Analytics team.
• Lead and implement analytic and research projects by confirming objectives, translating client or business needs into defined analytic approaches, applying appropriate methodologies, and delivering final analytic outputs.
• Independently build, validate, and present statistically sound models using standard tools, programs, and methodologies, making informed decisions under ambiguity and exercising judgment to identify when creative or non-standard approaches are required, when escalation is appropriate, and while providing guidance to others on analytic approaches and guidelines.
• Perform original research and contribute to research requests; maintain clear and comprehensive analytic documentation across the project lifecycle; and develop client-ready materials that clearly communicate findings, implications, and data-driven recommendations, exercising judgment and standing behind analytic conclusions while considering business, client, and operational tradeoffs.
• Consult with Sales personnel and external clients by participating in client meetings and conference calls, explaining statistical concepts, presenting analytic findings, and serving as a trusted analytic advisor.
• Work cross-functionally with internal teams, including Client Services, Data Acquisition & Performance, Modeling/Statistics, T&D, Production, and Product partners, to troubleshoot data, modeling, and process issues; build effective peer-level relationships; clearly explain root causes and recommended solutions; proactively identify and surface risks before they impact delivery; help drive alignment across collaborator groups; and facilitate consensus on analytic recommendations and project approaches.
• Support the development of peers through mentoring, knowledge sharing, training, and collaboration, contributing to team learning, skill development, and continuous improvement.
• Write new Python (and PySpark, where applicable) code, enhance and maintain existing codebases, apply relevant industry techniques and trends, evaluate emerging analytic approaches and technologies, and provide recommendations for improvements to modeling methodologies and analytic workflows.
• Ensure compliance with applicable privacy, data governance, and AI guidelines across all assigned analytic work, including the responsible use of AI-enabled tools to improve efficiency and accuracy where appropriate, while helping reinforce guidelines across the team.

• Bachelors in statistical, quantitative, or related field. Advanced degree preferred; minimum 5 years of experience in a statistical field, including experience performing data analysis or modeling with large transactional databases, conducting original research, and working directly with external clients in a business environment.
• Experience working with external clients in a business environment and familiarity with Epsilon compiled data assets processes and infrastructure, and direct marketing concepts preferred.
• Advanced knowledge of statistical methods and principles, including regression, clustering, factor analysis, ANOVA, sampling, inference, transformations, validation, model evaluation techniques, and statistical problem-solving in complex business environments.
• Demonstrated ability to lead analytic projects and research through all stages, including problem formulation, metric definition, methodology selection, execution, evaluation, collaborator communication, and final reporting.
• Proficiency in analytic programming and tools, including Python (and PySpark where applicable) and SQL, with the ability to independently implement analyses, understand, improve, and maintain existing codebases, review peer analytic work for quality and correctness, mentor less experienced analysts, and contribute to team standards and procedures; proficiency in Excel and PowerPoint to support analysis, reporting, and presentations.
• Experience demonstrating LLM- and AI-enabled tools to support analytic review, accelerate team workflows, enhance documentation and knowledge sharing, and find opportunities for process improvement, while ensuring adherence to governance and responsible-use standards.
• Proven ability to manage multiple projects concurrently, prioritize effectively, work independently with minimal oversight, navigate ambiguity, and balance competing business and client priorities while maintaining strong attention to detail and analytic difficulty.
• Excellent analytical, troubleshooting, communication, presentation, and consulting skills, including the ability to present complex analytic concepts clearly to technical and non-technical audiences, influence collaborators, collaborate effectively with cross-functional teams, mentor peers, and travel occasionally to meet clients.

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