Senior Data Analyst

About Business Unit:

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

Role Summary:  

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

Senior Data Analysts operate as experienced individual contributors who independently implement analytic projects, support client and internal requests, and collaborate with multi-functional partners. This position may have assigned clients for which the Senior Analyst is accountable for statistical deliverables. The role follows established processes and standards, exercises sound analytic judgment within defined scope, and contributes hands‑on expertise to incremental improvements in analytic workflows, systems, and tools.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 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.
• 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 and when escalation is appropriate.
• 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 supporting client meetings and conference calls, explaining statistical concepts, and serving as a trusted analytic advisor.
• Work cross functionally with internal teams, including Client Services, Data Acquisition & Performance, Modeling/Stats, 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, and proactively surface risks or issues before they impact delivery.
• Support the development of peers through informal mentoring, knowledge sharing, and collaboration, contributing to team learning and continuous improvement.
• Write new Python (and PySpark, where applicable) code, enhance and maintain existing codebases, apply relevant industry techniques and trends, and provide input on 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.

• 5+ years os experience.
• Bachelors in statistical, quantitative, or related field. Advanced degree preferred; minimum 3 years 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 data products, processes, and direct marketing concepts preferred.
• Advanced knowledge of statistical methods and principles, including regression, clustering, factor analysis, ANOVA, sampling, inference, transformations, validation, and model evaluation techniques.
• Demonstrated ability to conduct analytic projects and research through all stages, including problem formulation, metric definition, methodology selection, execution, evaluation, and final reporting.
• Proficiency in analytic programming and tools, including Python (and PySpark where applicable) and SQL, with the ability to independently perform analyses, understand, improve, and maintain existing codebases, review peer analytic work for quality and correctness, and contribute to informal knowledge sharing and skill development; proficiency in Excel and PowerPoint to support analysis, reporting, and presentations.
• Experience using LLM‑ and AI‑enabled tools to support analytic review, accelerate team workflows, and enhance documentation and knowledge sharing, while ensuring alignment to governance and responsible‑use standards.
• Demonstrable ability to manage multiple projects concurrently, prioritize effectively, and work independently with minimal oversight while maintaining good attention to detail and analytic rigor.
• Excellent analytical, troubleshooting, communication, and consulting skills, including the ability to communicate complex analytic concepts clearly to technical and non‑technical audiences, collaborate effectively with multi-functional teams, support informal knowledge sharing, and travel occasionally to meet client or business needs.

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.

Epsilon is an Equal Opportunity Employer. 
Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.