Note: The job is a remote job and is open to candidates in USA. Splash Sports is the leading peer-to-peer sports gaming platform, offering real-money contests across 40+ states. The Senior Growth Analyst will own the attribution system, drive growth analytics, and manage financial reporting to inform acquisition strategies.
Responsibilities
- Architect and own Splash's multi-touch attribution model across paid (Meta, Google, programmatic, affiliate) and organic (SEO, direct, referral, social) channels
- Own AppsFlyer configuration, campaign tracking, postbacks, and deep linking
- Own Segment event tracking schema and audience pipelines into Snowflake
- Define and enforce attribution standards across the organization
- Own the end-to-end funnel: first touch → signup → first deposit → first contest entry → activated player → retained player
- Identify drop-off points, form hypotheses, and drive cross-functional experiments to close gaps
- Define and own the 'activated user' and 'retained player' definitions with growth, product, and finance
- Architect and maintain performant dbt models for attribution, cohort, LTV, and funnel analysis in Snowflake
- Set the standard for SQL quality, model documentation, and Git hygiene on the growth side of the data org
- Partner with engineering on Segment + Snowflake pipelines and own the marketing-side transformation layer
- Own CAC, RPU, LTV, payback period, and ROAS reporting across 100% of acquisition channels
- Build the financial bridge between marketing spend and downstream revenue — channel-level P&L, cohort revenue curves, budget allocation models
- Be the person finance trusts to reconcile ad spend with attributed revenue
- Explain why a channel looks good on CAC but bad on payback — and what to do about it
- Connect contest performance (fill rates, entry patterns, overlay, prize pool efficiency) to acquisition and retention outcomes
- Surface game health signals to marketing and product before they become problems
- Build the analytical bridge between how contests perform and why players come back — or don't
- Set the analytical bar for the growth team. Review models, mentor junior analysts, and push for precision and clarity in how we communicate data
- Evaluate and recommend martech vendors. Know when to build vs. buy
- Dashboard development and maintenance in Metabase and Mixpanel
- KPI development and reporting — ARPU, RPU, LTV, CAC, and payback period
- Growth experimentation for acquiring and retaining customers
- Ad-hoc data analysis and query requests for company performance
- AI tool deployment for automated reporting, query generation, and daily insight surfacing
- Software and vendor evaluation across the martech stack
Skills
- 4–7 years in growth analytics, marketing analytics, or a closely related role
- Deep SQL expertise against Snowflake or a comparable cloud warehouse. You write complex queries, build dbt models, and review other people's work without slowing down
- Hands-on experience with AppsFlyer or a comparable MMP — campaigns, postbacks, deep linking, and attribution configuration, not just dashboards
- Experience with a CDP (Segment, mParticle, or Rudderstack) at the schema and pipeline level, not just the UI
- You can think in unit economics and connect them to financial outcomes. CAC, LTV, payback, retention curves — you've built these models before and presented them to senior leadership
- Strong A/B testing fundamentals. You've designed tests, caught misreadings, and pushed back when results were being overclaimed
- Strong written and verbal communication. You can translate a complex attribution model into three sentences for a marketing leader and three paragraphs for a finance review
- A track record of using AI tools — Claude in particular — to make yourself faster and more capable. Candidates actively building with Claude or Claude Code are strongly preferred
- Genuine curiosity about how games and contests perform, not just how users are acquired
- Avid sports fan a plus
- Multi-touch attribution modeling experience (first-touch, last-touch, position-based, media-mix modeling)
- Python for pipeline scripting, agent development, or statistical modeling
- Direct exposure to paid media APIs (Meta Marketing API, Google Ads API, TikTok)
- Experience presenting growth analytics findings to C-suite or board-level audiences
- Background in DFS, sports betting, gaming, fintech, or subscription platforms
- Hands-on experience with Claude Code for analytical workflow automation or agent-based reporting
Benefits
- Potential to earn equity in the company
- Medical, Dental, & Vision Insurance
- 401(k)/Retirement Plan Options
- Flexible PTO
- Annual company retreats & team offsites
- A work from home stipend
- Frequent company-wide games with cash prizes
Company Overview