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Senior Data Analyst - Marketing

Supabase

Senior Data Analyst - Marketing is a still-open role at Supabase on Jobrow. Location: Remote · Remote, Global. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
—
Workplace
Remote
Location
Remote, Global
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers.

  • Seniority: senior
  • postgres

Location & pay

Remote · Remote, Global No pay range was listed on the public board feed.

Source

Jobrow reads the public Ashby board for Supabase. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

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. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. WHAT YOU'LL BE RESPONSIBLE FOR Marketing Measurement Strategy - Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels - Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions - Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) - Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation - Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics - Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation - Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams - Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy Media Mix Modeling and Forecasting - Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation - Incorporate seasonality, adstock, and saturation effects, and continuousl

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