SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Fanatics is a leading global digital sports platform serving over 100 million sports fans worldwide. The company operates across three main segments: Fanatics Commerce (licensed fan gear and merchandise), Fanatics Collectibles (physical and digital trading cards and memorabilia), and Fanatics Betting & Gaming (sportsbook and iGaming platform). With partnerships spanning 900+ sports properties, 2,500 athletes and celebrities, and 2,000+ retail locations including Lids stores, Fanatics is reshaping how fans engage with sports.
As a Data Analyst III in Performance Analytics, you will support the growth of Fanatics ONE (the company's loyalty program) and FanaticsApp. Reporting to the Data Analytics Manager for FES Commercial, you'll be the analytical backbone for loyalty and app engagement strategies.
Key responsibilities include: collecting, cleaning, and organizing large datasets from loyalty and app platforms; developing and maintaining dashboards tracking member engagement, FanCash economics, tier progression, app DAU/MAU, retention, churn, and segment-level KPIs; conducting ad hoc analyses to uncover growth and efficiency opportunities; collaborating with senior analysts, product, marketing, and engineering teams to ensure data accuracy and alignment; identifying and communicating trends and anomalies to stakeholders; and continuously optimizing data processes for scalability.
You'll need a bachelor's degree in Business Analytics, Data Science, Economics, or related field, plus 4+ years in data analysis, customer analytics, loyalty programs, mobile/product analytics, or sports/betting/tech industries. Strong proficiency with SQL, Excel, and visualization tools (Sigma preferred) is essential. Experience with loyalty program mechanics (points, tiering, redemption) and mobile engagement KPIs (funnels, retention curves) is highly valued. DBT and Snowflake experience is a plus. You should be detail-oriented, a self-starter who adapts quickly, excellent at managing multiple projects, and skilled at communicating complex findings to both technical and non-technical audiences.
