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.
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.
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 continuously validate model performance through backtesting and reconciliation with experiment results
Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on
Context, Tooling, and Data Integrity
Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards
Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org
Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream
You Might Be a Good Fit If You
Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth
Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete
Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling
Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product
Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment
Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance
Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question
Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs
Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do
Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation
Thrive in async, autonomous environments and are energized by building a measurement function from the ground up
Nice to Haves
Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes
Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation
Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools)
Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
~400 team members
60+ countries
20+ languages spoken
Over $1B raised (including our $500M Series F)
540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.