Jobs · Marketing · New York

Director, Data & Analytics – Fanatics Collectibles (Digital Gaming)

Fanatics · New York, NY · 1 wk ago
Marketing$171k–$210k/yrFull-time

About the role

We’re looking for a hands-on data leader to own and rebuild the data foundation for our digital gaming portfolio. This role will be responsible for how data is collected, stored, modeled, and used across the business—and will partner closely with product to ensure we’re making better decisions around player behavior, engagement, and monetization.

This is not a pure management role. You will initially operate as a player-coach, directly owning key data workflows while laying the groundwork to scale the function over time.

Responsibilities

  • Take ownership of the existing data stack and improve its reliability, structure, and usability
  • Build and maintain core data pipelines, models, and datasets (hands-on)
  • Establish clear KPI definitions and reporting used by product, leadership, and external partners
  • Partner closely with product, game design, and UI/UX to translate roadmap questions into data and insights
  • Act as the bridge between product and data—translating business questions into data requirements and explaining insights in clear, non-technical terms
  • Define how we measure whether features, events, and in-game changes are successful
  • Ensure product, marketing, and studio teams can easily access and understand the data they need
  • Support cross-platform initiatives (e.g., Fanatics One login, webshop/backend integration) with clean, unified data and reporting
  • Deliver consistent reporting and insights to licensors (MLB, NBA, Disney, etc.)
  • Lay the foundation for scaling the data team over time

Requirements

  • 5+ years in data engineering, analytics, or related roles, ideally in mobile, gaming, or consumer apps
  • Strong hands-on experience building and maintaining data pipelines and data models
  • Advanced SQL skills
  • Experience with Python and/or R for data analysis, modeling, or automation
  • Experience with modern data platforms
  • Experience with BI and product analytics tools
  • Experience working closely with product teams and non-technical stakeholders

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