Director of Marketing Analytics & Data Infrastructure

Fanatics•Los Angeles, CA

75d•$174,000 - $230,000

About The Position

As Director of Performance, you will lead the strategy, implementation, and continuous evolution of marketing analytics and performance measurement across our growth stack. This role partners closely with Marketing, Product, Engineering, and Media teams to drive efficient user acquisition, engagement, and retention through advanced data modeling, experimentation, and insight generation. You'll own key measurement frameworks and help scale our data-driven marketing operation through best-in-class tooling, systems, and storytelling.

Requirements

8+ years in marketing analytics, growth analytics, or performance marketing; mobile and digital marketing experience required.
Deep expertise in paid acquisition ecosystems, including attribution, UA optimization, and media platforms (Meta, Google, TikTok, DSPs).
Advanced proficiency in SQL and a scripting language (Python, R); strong skills in handling large datasets.
Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
Proven track record designing experiments and translating results into strategic actions.
Familiarity with ETL tools and collaboration with data engineering teams.
Excellent communication and storytelling skills with non-technical stakeholders.
Bachelor’s or Master’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Economics).

Nice To Haves

Experience with MMM, LTV modeling, mobile gaming, global growth strategies, and data orchestration tools like Airflow or dbt.

Responsibilities

Architect performance measurement systems using internal models, tools, and third-party solutions.
Lead development of dashboards and reporting infrastructure to monitor CPI, ROAS, LTV, retention, and other key KPIs.
Analyze marketing performance across paid media, CRM, social, community, and growth channels; deliver actionable insights.
Drive test-and-learn initiatives, including A/B tests, incrementality studies, and media mix modeling.
Define and evolve attribution models suited to modern privacy environments (e.g., multi-touch, probabilistic, MMM).
Integrate data from ad platforms, MMPs, behavioral telemetry, and product systems into unified growth models.
Collaborate with engineering and data teams to ensure scalable, clean, and reliable data infrastructure.
Communicate complex analyses clearly to executive stakeholders through strategic storytelling.
Manage and mentor analysts or BI contributors to grow analytics capabilities across the team.
Stay current on measurement trends, privacy regulations, and emerging modeling techniques.