Senior Growth Analyst

Splash Sports

10d • $100,000 - $130,000 • Remote

About The Position

Splash Sports is the leading peer-to-peer sports gaming platform, offering real-money contests across 40+ states. From Survivor and Pick 'Em to QuickPicks, we're building contests for every type of fan.
Backed by top investors including Accomplice, Boston Seed, Dream Ventures, Elysian Park Ventures, Velvet Sea Ventures, and owners across the NFL, NHL, MLB, and Premier League, we're scaling fast. Our mission is simple but ambitious: bring people closer together through the gamification of live sports — and we're just getting started.
This is a fully remote position for candidates residing within certain states in the U.S.
If you've lived inside an attribution system, know where the bodies are buried in multi-touch modeling, and can connect CAC to LTV to payback period in a way that makes a finance leader nod — keep reading.
Splash acquires users through paid media, organic search, affiliates, partnerships, and product virality. We need to know exactly which dollar drove which user, from first touch to first deposit to fully activated player — and we need someone who's done this before.
You'll own the full attribution stack: AppsFlyer, Segment, Snowflake, and the dbt models that sit on top of all of it. You'll build and maintain the growth analytics infrastructure, ship the reporting that drives budget allocation, and work cross-functionally with marketing, product, and finance to translate data into decisions.
This isn't a build-your-craft role. We want someone who's already built the craft and is ready to own the function. You'll mentor junior analysts, define the analytical standards for the growth team, and push the quality of our data and reporting forward.

Requirements

• 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.

Nice To Haves

• 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.
• Avid sports fan a plus.

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.
• Alongside our Lifecycle Marketing & Deliverability Analyst, you'll share ownership of: Dashboard development and maintenance in Metabase and Mixpanel.
• Alongside our Lifecycle Marketing & Deliverability Analyst, you'll share ownership of: KPI development and reporting — ARPU, RPU, LTV, CAC, and payback period.
• Alongside our Lifecycle Marketing & Deliverability Analyst, you'll share ownership of: Growth experimentation for acquiring and retaining customers.
• Alongside our Lifecycle Marketing & Deliverability Analyst, you'll share ownership of: Ad-hoc data analysis and query requests for company performance.
• Alongside our Lifecycle Marketing & Deliverability Analyst, you'll share ownership of: AI tool deployment for automated reporting, query generation, and daily insight surfacing.
• Alongside our Lifecycle Marketing & Deliverability Analyst, you'll share ownership of: Software and vendor evaluation across the martech stack.
• You'll use Claude and internal agent tooling to automate attribution reporting, anomaly detection, and cohort health monitoring. We expect you to build your own agents over time — multiplying your output and raising the ceiling on what a small analytics team can deliver.

Benefits

• Competitive annual salary range of $100,000-$130,000. This range may be modified, and final compensation may vary based on experience and skill level
• 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
• An exciting opportunity to be part of the fast-growing fantasy sports industry

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed