Lead Data Analyst

Publicis Groupe ANZ; Westminster, Northern (CO, KY); Hybrid; USD 87,000 - 162,000; Full time

Benefits offered by this job

Health coverage

401(k)

Tuition assistance

Commuter benefits

Professional development

Employee recognition

Charitable donation matching

Health coaching and counseling

Job summary

Epsilon, a global data, technology and services company, is seeking a seasoned data analytics professional to lead and deliver quantitative analyses for client projects. The role emphasizes rigorous statistical modeling, cross-functional collaboration, and mentoring, with opportunities to apply AI-enabled methods while upholding governance standards.

You will work with Sales, Client Services and Product partners to translate business needs into analytic plans, build and validate models, and

Qualifications

• Bachelor’s degree in statistics, quantitative, or related field; advanced degree preferred; 5+ years in statistical field with data analysis and client-facing experience.
• Experience working with external clients and familiarity with Epsilon data assets processes and infrastructure, and direct marketing concepts preferred.
• Advanced knowledge of statistical methods including regression, clustering, factor analysis, ANOVA, sampling, inference, transformations, validation, model evaluation techniques, and statistical problem-solving in complex business environments.
• Proven ability to lead analytic projects 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 and SQL, with the ability to independently implement analyses, mentor peers, and contribute to standards; proficiency in Excel and PowerPoint for analyses and presentations.
• Experience demonstrating LLM- and AI-enabled tools to support analytic review, accelerate workflows, and improve documentation while adhering to governance.
• Ability to manage multiple projects concurrently, prioritize effectively, work independently, and travel occasionally.

Responsibilities

• Accountable for the accurate, on-time delivery of statistical deliverables for assigned projects, including workload management.
• Lead and implement analytic and research projects by translating client needs into analytic approaches and delivering outputs.
• Independently build, validate, and present statistically sound models, guiding colleagues on analytic methods.
• Perform original research and develop client-ready materials communicating findings and recommendations.
• Consult with Sales and external clients by presenting analytic findings and serving as a trusted advisor.
• Work cross-functionally to troubleshoot data, modeling, and process issues and surface risks.
• Support peer development through mentoring, knowledge sharing, and collaboration.
• Write new Python code and enhance existing codebases; evaluate new analytic approaches.
• Ensure compliance with privacy, governance, and AI guidelines across analytic work.
• Collaborate with teams to drive alignment and consensus on analytic recommendations.

Skills

Python

SQL

PySpark

Excel

PowerPoint

Statistics

Education

Bachelor's degree in statistics/quantitative field

Advanced degree preferred

Tools

Python

PySpark

SQL

Job description

Responsibilities

• 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.

Qualifications

• 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.

Additional Information

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 [e-mail] 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

Compensation Range: USD $87,100.00 - USD $161,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/7/2026.