Responsibilities

• Splash’s multi-touch attribution model design across paid and organic channels
• Use AppsFlyer for paid media attribution, CAC tracking, and channel performance
• Build Segment event tracking and audience pipelines into Snowflake
• Integrate attribution tracking in Metabase and label users by acquisition source
• Build pipelines that follow each acquired user from first touch to activated user (onboarding funnel tracking)
• Identify drop-off points and surface them to lifecycle, paid, and product partners
• Define and own the 'activated user' definition with growth and product
• Write performant SQL against Snowflake for attribution, cohort, and funnel analysis
• Build modeled tables and transformations using dbt-style patterns; learn the framework if needed
• Work with engineering on Segment + Snowflake pipelines; you own the marketing-side models

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). Joins, CTEs, window functions, query optimization. You can write your own queries and read someone else’s without help
• 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
• 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
• Genuine curiosity about how attribution actually works under the hood, even if you haven’t formally architected one yet

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