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 a fast-moving team at a venture-backed sports gaming startup.
• Own building a single source of truth for user attribution across every channel we spend on.
• Your work directly shapes how we deploy every dollar of our marketing budget.
• Real ownership from day one. You're not pulling reports for someone else — you're the person leadership trusts to tell them where the users actually came from.

Location

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

The Role

If you obsess over where a user actually came from, can build the pipeline to prove it, and explain attribution drift in three sentences without losing the precision, 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.

You'll own the day-to-day of user attribution, acquisition analytics, and the reporting that powers our marketing decisions — growing into deeper ownership of the infrastructure as you ramp. You'll learn AppsFlyer, Segment, and our Snowflake warehouse deeply, build the pipelines and models that tell us where users come from and what they're worth, and ship the daily reporting that informs how we deploy our budget.

This is a build-your-craft role. We don't expect you to walk in having architected a multi-touch attribution model from scratch or shipped production dbt projects. We expect you to be technical, ambitious, and ready to ramp fast. You'll work directly with engineering and our data team so you can grow into the harder pieces.

You'll be hands-on in our data stack every day — Snowflake, Segment, AppsFlyer, Metabase, dbt, Git. Write your own queries. Build your own models. Pressure-test the numbers. Bring answers to the marketing team. Technical fluency and analytical sharpness aren't a tradeoff here. You need both.

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

What You'll Own

Attribution System Design

• Splash's multi-touch attribution model across paid (Meta, Google, programmatic, affiliate) and organic (SEO, direct, referral, social) channels.
• AppsFlyer for paid media attribution, CAC tracking, and channel performance.
• Segment event tracking and audience pipelines into Snowflake.
• Integrating attribution tracking in Metabase. Labeling all users by acquisition source.

Onboarding Funnel Tracking

• Build the pipelines that follow each acquired user from first touch → signup → first deposit → first contest entry → activated player.
• Identify drop-off points and surface them to lifecycle, paid, and product partners.
• Define and own the 'activated user' definition with growth and product.

Data Pipelines & Modeling

• Write performant SQL against Snowflake for attribution, cohort, and funnel analysis.
• Build modeled tables and transformations using dbt-style patterns. We'll help you learn the framework if you don't know it yet.
• Work with engineering on Segment + Snowflake pipelines. Engineering owns the infra. You own the marketing-side models on top.
• Manage all code in Git with proper branching, PRs, and review.

Standardized KPI Reporting

• Automate CAC, RPU, LTV, and payback period reporting across 100% of acquisition channels.
• Reconcile spend, attributed signups, and downstream revenue across AppsFlyer, ad platforms, and Snowflake.
• Build a single source of truth dashboard that leadership trusts and uses to grade performance.

Contest & Game Analysis

• Develop curiosity about how contests perform — not just how users are acquired. Entry rates, fill rates, prize pool efficiency, and player behavior within contests all have stories to tell.
• Connect game health metrics back to acquisition and retention patterns to give marketing and product a fuller picture.

What You'll Share

Alongside our Lifecycle Marketing & Deliverability Analyst, you'll share ownership of:

• 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.

AI & Automation

You'll use AI tooling (Claude and internal agents) to generate automated daily attribution and growth reports — channel performance, cohort health, anomaly alerts. Over time, you'll build your own agents to multiply your output to the marketing leadership team.

What You'll Bring

• 2–4 years in growth analytics, marketing analytics, data analysis, business intelligence, or analytics-adjacent roles.
• Strong SQL fundamentals against a cloud warehouse (Snowflake preferred). Joins, CTEs, window functions, query optimization. You can write your own queries and read someone else's without help.
• Sharp analytical thinking. You can be handed a vague question like 'why is retention dropping?' and break it into a clear, structured analysis with a defensible answer.
• Hands-on experience with at least one of: a CDP (Segment, mParticle, Rudderstack), an attribution platform (AppsFlyer, Adjust, Branch, Kochava), or a modern BI tool (Metabase, Looker, Mode).
• Comfort with Git and version control, or strong interest in learning fast.
• Solid grasp of statistics and A/B testing. You understand sample size, significance, and the common ways tests get misread.
• You can think in funnels, cohorts, and unit economics. CAC, LTV, payback, retention curves — you've worked in these frameworks before and can connect them to revenue outcomes, not just marketing performance. You're comfortable explaining why a channel looks good on CAC but bad on payback, and what that means for budget allocation.
• Strong written communication. You can take a complicated analysis and explain it in three sentences without losing the precision.
• High degree of personal agency. You don't wait to be told what to do. You see a question that needs answering and you answer it.
• A track record of using AI tools — Claude in particular — to make yourself faster at your job. If AI isn't already part of how you work every day, this probably isn't the right role.
• Genuine curiosity about how attribution actually works under the hood, even if you haven't formally architected one yet.
• Genuine curiosity about how games and contests perform, not just how users are acquired. You should be able to look at contest fill rates, entry patterns, and prize pool data and form a hypothesis about what's driving player behavior — even if you've never worked in gaming before.
• Avid sports fan a plus. Understanding the audience makes the analysis sharper and the insights more useful.

Nice to Have

• Direct AppsFlyer experience including campaigns, postbacks, and deep linking.
• Multi-touch attribution modeling experience (first-touch, last-touch, position-based, or media-mix).
• dbt or equivalent transformation framework.
• Python for pipeline scripting and basic agent development.
• Exposure to paid media data (Meta Marketing API, Google Ads API, TikTok).
• Background in subscription, gaming, fintech, or e-commerce.
• Hands-on experience with Claude or Claude Code for analytical workflows, query generation, or agent-based automation. Candidates actively building with Claude are strongly preferred.
• Background in gaming, DFS, sports betting, or any platform where the product itself is a repeatable event with measurable engagement per session.

How We Work

Splash provides the AI environment. You bring the domain expertise, curiosity, and adaptability.

Compensation & Benefits

• Competitive annual salary range of $90,000–$115,000. 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

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Splash is committed to creating an inclusive work environment. We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual occupation, marital status, veteran status, age or disability.