Data Analyst III

Fanatics Betting & GamingNew York, NY
$115,000 - $172,000

About The Position

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.

Requirements

  • 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.

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.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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