Director, Performance Analytics
About The Position
As the Director of Performance Analytics, you will serve as the technical owner of Fanatics Collect’s marketing analytics and measurement ecosystem. This role is critical to shaping the performance strategy behind user acquisition, retention, and lifecycle marketing through advanced analytics, experimentation, and scalable data infrastructure. Operating at the intersection of growth strategy, analytics engineering, and MarTech systems, you’ll partner cross-functionally with Marketing, Product, Engineering, and Data teams to ensure the integrity, utility, and evolution of our performance measurement stack. You’ll lead a team of analytics engineers and senior analysts while setting technical direction, building attribution models, and defining best-in-class measurement practices in an increasingly privacy-conscious environment.
Requirements
- 8–10+ years in marketing analytics, growth analytics, or MarTech analytics engineering.
- Proven ownership of analytics systems beyond just reporting or BI.
- Advanced proficiency in SQL and Python or R for data modeling, experimentation, and automation.
- Deep expertise in attribution systems, MMPs (e.g., AppsFlyer, Adjust), paid media APIs, and privacy-aware measurement techniques.
- Strong background in designing and interpreting A/B tests, incrementality studies, and MMM.
- Experience partnering with data engineering on ETL pipelines, data modeling layers, and orchestration tools (e.g., Airflow, dbt).
- Demonstrated success building performance dashboards and self-service analytics tools (Looker, Tableau, etc.).
- Exceptional communication and storytelling skills, especially with executive audiences.
- Bachelor’s or Master’s degree in a quantitative field (Statistics, Computer Science, Economics, etc.).
Nice To Haves
- Experience with mobile gaming, global marketing analytics, and leading analytics teams in high-growth environments.
Responsibilities
- Architect and own end-to-end marketing measurement infrastructure including attribution, incrementality testing, MMM, and LTV modeling.
- Define and enforce technical standards for ingesting data from ad platforms, MMPs, CDPs, CRM systems, and product telemetry.
- Lead development of probabilistic attribution models, cohort-based LTV frameworks, and causal inference techniques.
- Design and manage incrementality testing, geo-experiments, and media mix modeling to quantify true marketing impact.
- Build and evolve executive dashboards and performance monitoring tools to track CPI, ROAS, CAC, LTV, retention, and other growth KPIs.
- Collaborate with Data Engineering to maintain clean, scalable, and reliable ETL pipelines for both real-time and batch analytics.
- Translate complex analytical outputs into strategic insights and clear narratives for senior stakeholders.
- Evaluate and implement MarTech and analytics tools to enhance marketing performance and data access.
- Manage and mentor a team of analytics engineers and analysts; establish high standards for technical quality and execution.
- Stay ahead of trends in privacy regulation, analytics innovation, and marketing technology.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
