Boston, United States; Chicago, United States; New York, US; Wakefield, United States; Westminster, United States
Full job description
Epsilon seeks a Director of Analytics for its Analytics Consulting practice focused on Financial Services clients. The role involves leading client engagements, defining paid media measurement strategies, translating complex analytic methodologies into actionable insights, and collaborating with cross-functional teams to deliver advanced analytics and AI-driven marketing solutions. The Director will manage and mentor analytics teams, coordinate onshore and offshore resources, and communicate project progress and results to clients and senior stakeholders. Requirements include a bachelor's degree in a quantitative field, 8+ years of experience in data science or marketing analytics, proficiency in SQL and Python, strong knowledge of marketing measurement methodologies, and excellent communication and project management skills. Preferred skills include a master's degree, familiarity with Databricks, and experience with media mix modeling and marketing measurement solutions. Benefits include flexible time off, paid holidays, parental leave, health coverage, 401(k), tuition assistance, and more. Salary range: $127,900 to $269,200 annually. Locations: Chicago, IL; Westminster, CO; Wakefield, MA; Boston, MA; New York, NY.
What you'll do
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Boston, United States; Chicago, United States; New York, US; Wakefield, United States; Westminster, United States
Full-time
Serve as a client-facing lead for Analytic Services across Financial Service relationships
Define paid media measurement strategies for brand, performance, and customer-level campaigns
Create alignment on KPI frameworks, success metrics, and reporting expectations
Translate complex methodologies into clear, client-friendly insights and guidance
Partner cross-functionally to deliver advanced analytics, machine learning, and AI-driven solutions
Collaborate with junior resources to manage delivery of audience measurement and insights
Coordinate onshore and offshore analytic consulting, data science, and junior analytics resources
Define measurement strategies for marketing campaigns and align KPI frameworks
Partner with client marketing and analytic teams to interpret results and optimize campaigns
Develop and communicate actionable insights, optimization recommendations, and executive narratives
Access and analyze data in proprietary tools, cleanroom environments, CDPs, and other platforms
Develop understanding of Epsilon’s analytic capabilities, marketing platforms, and datasets
Manage project execution including timeliness, quality, communication, and creative solutions
Collaborate with internal teams to deliver integrated solutions
Coach, mentor, and develop analytics team members fostering a collaborative culture
Requirements
Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Marketing Analytics, Engineering, Physics, Computer Science or related disciplines)
8+ years of experience in data science, analytics, or machine learning, preferably marketing analytics
Deep understanding of customer-level marketing analytics, audience creation, segmentation, campaign performance measurement, testing, attribution, incrementality, closed-loop measurement, and optimization
Ability to design and execute analyses using large record-level datasets including advertising impressions, site visitation, audience attributes, campaign activity, online and offline sales, and customer behavior data
Experience measuring audience performance using first-party data, Epsilon-owned data assets, CDPs, cleanroom environments, media exposure data, and other combined data sources
Working knowledge of statistical methods, experimental design, hypothesis testing, causal inference, predictive modeling, segmentation, and marketing measurement methodologies
Experience analyzing paid media performance across channels such as programmatic, search, social, display, connected TV, experiential, and out-of-home
Proficiency with SQL, Python, or similar data manipulation and analytic tools
Strong planning, prioritization, and project management skills
Excellent verbal and written communication skills
Skilled in data visualization and executive-level storytelling
Proven ability to collaborate across interdisciplinary teams
Highly motivated, collaborative, intellectually curious, and results-oriented
Ability to simplify complexity, communicate clearly and teach others
