Growth Analyst

Splash Sports

10d•$90,000 - $115,000•Remote

About The Position

Splash Sports is the leading peer-to-peer sports gaming platform, offering real-money contests across 40+ states. We are building contests for every type of fan and are scaling fast, backed by top investors. Our mission is to bring people closer together through the gamification of live sports. This is a fully remote position for candidates residing within certain states in the U.S. The role requires someone who obsesses over user attribution, can build the pipeline to prove it, and explain attribution drift precisely. Splash acquires users through various channels and needs to know exactly which dollar drove which user, from first touch to fully activated player. The Growth Analyst will own the day-to-day of user attribution, acquisition analytics, and the reporting that powers marketing decisions, growing into deeper ownership of the infrastructure. This is a build-your-craft role where you will learn and deeply utilize AppsFlyer, Segment, and our Snowflake warehouse, build pipelines and models, and ship daily reporting. You will be hands-on in our data stack daily, including Snowflake, Segment, AppsFlyer, Metabase, dbt, and Git. Technical fluency and analytical sharpness are both required.

Requirements

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), including joins, CTEs, window functions, and query optimization.
Sharp analytical thinking; ability to break down vague questions into structured analyses.
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, including sample size, significance, and test interpretation.
Ability to think in funnels, cohorts, and unit economics (CAC, LTV, payback, retention curves).
Strong written communication skills; ability to explain complex analyses concisely.
High degree of personal agency; proactive in identifying and answering questions.
Track record of using AI tools (Claude in particular) to increase work efficiency.
Genuine curiosity about how attribution works under the hood.
Genuine curiosity about how games and contests perform.
Ability to form hypotheses about player behavior based on contest data.

Nice To Haves

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.
Background in gaming, DFS, sports betting, or any platform where the product itself is a repeatable event with measurable engagement per session.
Avid sports fan.

Responsibilities

Own the day-to-day of user attribution, acquisition analytics, and reporting that powers marketing decisions.
Build the pipelines and models that determine where users come from and what they are worth.
Ship the daily reporting that informs marketing budget deployment.
Design Splash's multi-touch attribution model across paid and organic channels.
Utilize AppsFlyer for paid media attribution, CAC tracking, and channel performance.
Manage Segment event tracking and audience pipelines into Snowflake.
Integrate attribution tracking in Metabase and label all users by acquisition source.
Build pipelines to track each acquired user from first touch through to activated player.
Identify drop-off points in the onboarding funnel and surface them to relevant partners.
Define and own the 'activated user' definition with growth and product teams.
Write performant SQL against Snowflake for attribution, cohort, and funnel analysis.
Build modeled tables and transformations using dbt-style patterns.
Work with engineering on Segment + Snowflake pipelines, owning the marketing-side models.
Manage all code in Git with proper branching, PRs, and review.
Automate CAC, RPU, LTV, and payback period reporting across all acquisition channels.
Reconcile spend, attributed signups, and downstream revenue across various platforms.
Build a single source of truth dashboard for leadership.
Develop curiosity about how contests perform, including entry rates, fill rates, prize pool efficiency, and player behavior.
Connect game health metrics back to acquisition and retention patterns.
Share ownership of dashboard development and maintenance in Metabase and Mixpanel.
Share ownership of KPI development and reporting (ARPU, RPU, LTV, CAC, payback period).
Share ownership of growth experimentation for acquiring and retaining customers.
Perform ad-hoc data analysis and query requests for company performance.
Utilize AI tooling (Claude and internal agents) to generate automated daily attribution and growth reports.
Build AI agents to multiply output to marketing leadership.
Evaluate software and vendors across the martech stack.