Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Overview
As a Data Analyst III, you will play a critical role in supporting and optimizing the Fanatics App's marketing and growth efforts through data-driven insights. You will be responsible for building and maintaining dashboards, developing attribution models, and leveraging SQL & data engineering best practices to drive strategic decision-making across paid and organic channels. Your work will enable us to measure the effectiveness of our marketing investments, from install attribution to post-install monetization, and inform budget allocation, creative strategy, and channel mix decisions.
The ideal candidate has a strong analytical mindset with hands-on experience in mobile marketing analytics, a deep understanding of mobile measurement platforms (especially AppsFlyer), and the data expertise to connect raw attribution data to downstream business outcomes.
Responsibilities
- Develop and maintain dashboards to visualize key paid marketing metrics including installs, CPI, ROAS, LTV, and payback period by channel, campaign, and creative.
- Own and evolve AppsFlyer data pipeline, including install attribution, in-app events, fraud filtering, and cohort performance, to ensure clean, reliable inputs for all marketing reporting.
- Analyze organic acquisition channels, including ASO, push notification reactivation, and referral programs, to measure incremental lift and inform cross-channel growth strategy.
- Write efficient SQL queries to extract, analyze, and manipulate large datasets spanning paid media spend, install attribution, and post-install revenue metrics.
- Partner with data engineering teams to build and optimize dbt models supporting marketing analytics infrastructure.
- Translate attribution data into actionable insights that inform channel budget allocation, bid strategy, and creative performance.
- Collaborate cross-functionally with Growth, Product, and Finance teams to align on marketing KPI definitions and measurement methodology.
- Identify opportunities to automate reporting and streamline data processes for scalability across growing channel and campaign volume.
- Communicate insights effectively to stakeholders across marketing, operations, and executive leadership, including regular performance readouts and ad hoc deep dives.
Experience and Skills
- 4+ years of experience in marketing analytics, growth analytics, or a related data role - ideally in a mobile-first consumer product environment.
- Hands-on experience with AppsFlyer or a comparable mobile measurement platform, including attribution modeling, cohort analysis, and fraud protection.
- Strong proficiency in Sigma for dashboard creation and visualization.
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