Head of Product & Growth Analytics

Fanatics•New York, NY

9h•$215,000 - $268,750

About The Position

The Head of Product & Growth Analytics is a senior technical leader responsible for defining and executing the analytics strategy across Fanatics Collectibles, including Fanatics Collect, Topps, and eCommerce. This role owns the analytics function for the Collectibles portfolio, translating business strategy into scalable analytics capabilities that drive growth, efficiency, and data-driven decision-making. As a Head of Product & Growth Analytics, this role leads through senior individual contributors and people managers, sets technical and analytical standards, and ensures analytics investments deliver measurable business impact.

Requirements

Minimum 8 years in analytics or data science.
Minimum 3–5 years leading analytics teams, including managers.
Experience owning analytics outcomes for complex domains.
Strong knowledge of modern analytics stacks.
SQL expertise; fluency in Python or R.
Ability to set technical standards and review work.
Strong strategic judgment in ambiguous environments.
Excellent executive communication and influence skills.
Experience scaling teams in high-growth settings.

Nice To Haves

Experience with eCommerce or marketplaces.
Familiarity with agile analytics models.
Experience in multi-brand organizations.

Responsibilities

Own the analytics strategy and roadmap across Fanatics Collectibles.
Translate business strategy into analytics initiatives and success metrics.
Identify high-impact opportunities where analytics drives growth and efficiency.
Lead senior ICs and at least one people manager.
Set expectations for ownership, performance, and technical excellence.
Build succession plans and scalable team structures.
Serve as senior analytics partner across Product, Engineering, Finance, and Operations.
Present insights and recommendations to senior leadership.
Embed analytics into product and marketplace decision-making.
Establish analytics standards, governance, and best practices.
Ensure trusted, scalable, production-ready analytics outputs.
Prioritize initiatives based on business value.
Provide oversight of analytics tooling and platforms.
Own analytics budget inputs including tools and vendors.
Guide adoption of new analytics technologies.