Senior Growth Analyst

About Splash

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.

Why Splash

• Work directly with senior leadership at a venture-backed sports gaming startup.
• Own the attribution system, the growth analytics function, and the financial reporting that informs every dollar we spend on acquisition.
• Your work doesn't just inform decisions — it drives them. Leadership will use your models to grade channel performance, set budgets, and evaluate growth bets.
• Real ownership from day one, with a clear path to shape the analytics function as we scale.

Location

This is a fully remote position for candidates residing within certain states in the U.S.

The Role

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.

Reports To: Sr. Director of Engineering, Data & AI

What You'll Own

Attribution System Design & Ownership

• 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.

Onboarding Funnel & Lifecycle Analytics

• 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.

Data Pipelines & Modeling

• 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.

Financial & KPI Reporting

• 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.

Contest & Game Analysis

• 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.

Team & Standards

• 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.

What You'll Share

Alongside our Lifecycle