Senior Data Analyst - Marketing

About SupabaseSupabase 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 RoleWe'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 forMarketing Measurement StrategyOwn the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channelsEstablish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisionsTranslate 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 metricsIncrementality and ExperimentationDesign and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tacticsCalculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocationBuild repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teamsPartner 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 strategyMedia Mix Modeling and ForecastingBuild and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocationIncorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment resultsTurn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act onContext, Tooling, and Data IntegrityOwn 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 dashboardsUse 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 orgIdentify 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 downstreamYou Might Be a Good Fit If YouHave 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growthDeeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than competeAre advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modelingHave hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-productHave built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environmentHave strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performanceThink 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" questionCan hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffsAre 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 doCommunicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversationThrive in async, autonomous environments and are energized by building a measurement function from the ground upNice to HavesExperience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomesExperience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentationFamiliarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools)What We OfferFully RemoteWe 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.ESOPEvery team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.Tech AllowanceUse this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.Health BenefitsSupabase 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-SitesOnce 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 WorkWe operate asynchronously and trust you to manage your own time. You know what needs to be done and when.Professional DevelopmentEvery team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.About the TeamSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.~400 team members60+ countries20+ languages spokenOver $1B raised (including our $500M Series F)540,000+ community membersWe 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.