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Supabase is seeking a Senior Data Analyst for Marketing to build and own the measurement foundation across paid and product-led growth (PLG) channels. You will work closely with Marketing, Growth, and channel owners to move beyond platform-reported metrics into causal, trusted answers about what drives pipeline and revenue.
Key responsibilities include:
Marketing Measurement Strategy: Own end-to-end measurement across experimentation, media mix modeling (MMM), and attribution for paid and PLG channels. Establish and evolve the attribution framework, translating complex outputs into clear investment recommendations on CAC, payback, and LTV-to-CAC ratios. Serve as the subject matter expert, educating stakeholders on causality and model limitations.
Incementality and Experimentation: Design and run always-on incrementality tests (user-level and geo-level) to quantify causal impact of channels, campaigns, and tactics. Calculate incremental lift, incrementality percent, and incremental ROAS/CPA. Build repeatable analysis templates and playbooks for consistent experiment design and readouts. Partner with channel owners to build and prioritize experimentation roadmaps.
Media Mix Modeling and Forecasting: Build and maintain MMM models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation. Incorporate seasonality, adstock, and saturation effects. Validate through backtesting and reconciliation with experiment results. Turn insights into budget scenarios and forecasts for non-technical stakeholders.
Context, Tooling, and Data Integrity: Own metric definitions, model documentation, and reusable analysis patterns to enable self-serve analytics. Use AI tools as a core part of daily work to accelerate analysis. Identify and fix data gaps and inconsistencies at the root across tracking, spend, and platform exports.
You should have 6+ years in marketing analytics, data science, or related roles with focus on performance marketing and/or PLG growth. Deep understanding of attribution, incrementality testing, and MMM is essential. Advanced SQL and statistical programming (Python or R) required. Hands-on experience designing and interpreting experiments across digital channels (search, social, display, email, in-product). Ideally, you've built or worked closely with MMM and advanced attribution models in consumption or BaaS environments. Strong business acumen with fluency in growth metrics. Think in terms of self-service and scale. Comfortable with both technical model details and strategic business conversations. AI-forward in your work habits. Clear communicator to non-technical stakeholders.
Nice-to-haves: BaaS, DevRel, or open-source dev tool company experience; applied econometrics or Bayesian methods; familiarity with Google Ads, Meta, LinkedIn, web analytics, CDPs, and BI tools.
Supabase is the Postgres development platform built by developers for developers, providing Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. Fully remote, globally hiring. Equity (ESOP) for all team members, tech allowance, and comprehensive health benefits.