Responsibilities

• Serve as a client-facing analytics lead for paid media measurement, audience analytics, and marketing effectiveness engagements across relationships of varying size and complexity
• Define paid media measurement strategies for brand, performance, and customer-level campaigns, creating alignment on KPI frameworks, success metrics, and reporting expectations across client and internal collaborators
• Partner with client marketing, media, analytics, and agency teams to interpret results and recommend optimizations across audience, placement, channel, creative, offer, budget allocation, and campaign strategy
• Translate complex methodologies, including experimentation, causal inference, attribution, segmentation, predictive modeling, incrementality, and closed-loop measurement, into clear, client-friendly insights and guidance
• Partner cross-functionally to deliver advanced analytics, machine learning, and AI-driven solutions that improve marketing effectiveness across paid and owned media channels
• Access and analyze data in Epsilon’s proprietary tools, PeopleCloud, cleanroom environments, CDPs, and other data platforms to measure audience quality, media exposure, campaign outcomes, online and offline sales impact, and customer behavior
• Oversee media data readiness, ingestion, and quality requirements to ensure audience and campaign reporting is feasible based on client advertising operations, owned digital ecosystems, and available data assets
• Develop and communicate actionable insights, optimization recommendations, executive-ready narratives, and quantifiable business impact to clients and senior collaborators
• Author and contribute to analytic plans, technical requirements, project estimates, statements of work, timelines, deliverables, and resource plans that support successful execution
• Coordinate onshore and offshore analytic consulting, data science, and junior analytics resources in designing, implementing, validating, and delivering end-to-end analytics solutions

Requirements

• Bachelor’s degree in a quantitative rigor such as Statistics, Economics, Mathematics, Marketing Analytics, Engineering, Computer Science, Data Science, or a related field
• 8+ years of hands-on, relevant experience in analytics, data science, marketing analytics, or digital media analytics
• Demonstrated experience analyzing paid media performance across channels such as programmatic, search, social, display, video, connected TV, experiential, and out-of-home, including understanding how these channels contribute to digital and broader marketing measurement
• Deep understanding of customer-level marketing analytics, audience creation, segmentation, campaign performance measurement, testing, attribution, incrementality, closed-loop measurement, and optimization
• Experience measuring audience performance using first-party data, Epsilon-owned data assets, CDPs, cleanroom environments, media exposure data, and other combined data sources
• Ability to design and implement analyses using large record-level datasets, including advertising impressions, site visitation, audience attributes, campaign activity, online sales, offline sales, and customer behavior data
• Working knowledge of statistical methods, experimental design, hypothesis testing, causal inference, predictive modeling, segmentation, and marketing measurement methodologies
• Proficiency with SQL, Python, or similar data manipulation and analytic tools
• Strong planning, prioritization, and project management skills, with ability to manage multiple analytics projects, requests, timelines, and resources concurrently
• Excellent verbal and written communication skills, with ability to simplify complexity, foster dialogue across teams, and present analytic findings in a clear, compelling, business-focused manner

Preferred

• Master’s degree in Statistics, Economics, Data Science, Business Analytics, Marketing Analytics, or a related quantitative field
• Familiarity with Databricks or similar large-scale analytics platforms
• Experience with data visualization tools and executive reporting environments
• Experience with media mix modeling, fractional attribution, multi-touch attribution, brand lift, incrementality testing, sales lift, and other marketing measurement solutions
• Experience with CPG, retail, commerce, or other industries where online and offline sales measurement is central to paid media effectiveness
• Familiarity with Google Campaign Manager, Google Analytics, Adobe Analytics, cleanroom platforms, CDPs, DMPs, ad servers, and major paid media platforms
• Understanding of the MarTech and AdTech landscape, including how analytics drives value realization from media, identity, activation, measurement, and reporting platforms

Benefits

• Time to recharge: Flexible time off (FTO), 14 paid holidays, 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