Marketing Data Analyst

World Golf Tour (WGT)San Francisco, CA
1d

About The Position

World Golf Tour is seeking a Marketing Data Analyst to join our Growth team. You'll be the analytical engine behind our user acquisition and marketing efforts — owning performance measurement, channel analysis, and audience insights that directly inform how we spend and scale. This role sits at the intersection of paid media, organic growth, and product analytics, working closely with UA, brand, and product teams to turn data into decisions.

Requirements

  • Bachelor's degree in Analytics, Statistics, Economics, Mathematics, or a related quantitative field
  • 2–4 years in a data or marketing analytics role, ideally in mobile gaming or app-based UA
  • Strong SQL proficiency — comfortable pulling and manipulating large datasets independently
  • Hands-on experience with MMP data (Appsflyer, Adjust, or similar) and paid media platforms
  • Experience building dashboards in Amplitude, Power BI, Tableau, or similar tools
  • Solid grasp of core UA metrics: ROAS, CPI, CPM, CTR, LTV, D1/D7/D30 retention
  • Experience modeling player LTV and translating those projections into UA bidding targets and channel-level goals
  • Familiarity with retargeting campaigns — defining success metrics, measuring incrementality, and distinguishing true lift from attribution noise
  • Strong communicator — can package insights for both technical teammates and exec stakeholders

Nice To Haves

  • Experience with mobile gaming UA, specifically F2P monetization models
  • Familiarity with MMM (media mix modeling) or incrementality testing
  • Exposure to creator/influencer performance measurement
  • Experience working with data warehouses (Snowflake, BigQuery, etc.)
  • Understanding of SKAdNetwork, ATT framework, and privacy-era attribution challenges
  • Comfort in fast-moving, cross-functional environments where priorities shift with the season

Responsibilities

  • Own reporting and analysis across paid UA channels (Meta, Google, Apple Search Ads, etc.) — ROAS, CPI, LTV, retention cohorts
  • Build and maintain dashboards that track campaign performance, channel efficiency, and audience trends
  • Analyze the paid → organic relationship and surface insights on how UA investments drive broader growth
  • Support audience segmentation and targeting strategies using behavioral and demographic data
  • Partner with the UA and creative teams to evaluate creative performance and identify winning patterns
  • Conduct incrementality, attribution, and funnel analysis to improve spend allocation
  • Support ad hoc deep dives — new channel evaluation, seasonal campaign analysis, creator/partnership ROI
  • Translate findings into clear recommendations for both marketing practitioners and senior leadership
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