Senior Data Analyst - Marketing

About Supabase

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the Role

We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue.

Responsibilities

Marketing Measurement Strategy

• Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution.
• Establish and evolve the attribution framework (multi-touch, MMM, and experiments).
• Translate complex outputs into clear recommendations on investment, CAC, payback, and LTV.
• Serve as the subject matter expert for marketing measurement and causality.

Incrementality and Experimentation

• Design and run always-on incrementality tests to quantify the causal impact of channels and tactics.
• Calculate incremental lift and ROAS/CPA to guide budget reallocation.
• Build repeatable analysis templates and playbooks for experiment design.
• Partner with channel owners to prioritize an experimentation roadmap.

Media Mix Modeling and Forecasting

• Build and maintain media mix models to estimate channel contribution and marginal returns.
• Incorporate seasonality, adstock, and saturation effects; validate through backtesting.
• Turn MMM insights into budget scenarios and forecasts for non-technical stakeholders.

Context, Tooling, and Data Integrity

• Build self-serve analytics tools, metric definitions, and reusable analysis patterns.
• Utilize AI tools to accelerate analysis and establish AI-forward practices.
• Identify and resolve gaps in marketing data tracking and integrity.

Requirements

• 6+ years in marketing analytics, data science, or related roles.
• Deep understanding of attribution, incrementality testing, and media mix modeling.
• Advanced proficiency in SQL and Python or R.
• Hands-on experience designing and interpreting experiments across digital channels.
• Strong business acumen regarding growth metrics (CAC, LTV, payback).
• Ability to communicate causal nuance to non-technical stakeholders.
• Experience thriving in async, autonomous environments.
• AI-forward mindset with habitual use of LLMs.

What We Offer

• Fully Remote: Work from anywhere; includes a WeWork membership or co-working allowance.
• ESOP: Equity ownership in the company.
• Tech Allowance: Budget to set up your ideal work environment.
• Health Benefits: 100% coverage for employees, 80% for dependents.
• Annual Off-Sites: Company-wide gatherings for connection and collaboration.
• Professional Development: Annual education allowance for learning and growth.