{"id":89606,"url":"https://alion.io/job/supabase-senior-data-analyst-marketing","title":"Senior Data Analyst - Marketing","company":{"id":17114,"name":"Supabase","domain":"supabase.com","url":"https://alion.io/company/supabase-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":76,"open_postings":15,"ghost_share":0,"stale_share":0.733,"repost_share":0.067,"time_to_fill_p50_days":63,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"worldwide","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":157000,"period":"year","method":"global_role_seniority_cell","sample_n":3468},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Supabase","optional":false},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-08-04T19:08:19Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-31T04:51:59Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"About Supabase\nSupabase 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.\nAbout the Role\nWe'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.\nThis 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.\nWhat You'll Be Responsible for\nMarketing Measurement Strategy\nOwn the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels\n\nEstablish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions\n\nTranslate 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)\n\nServe as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics\n\nIncrementality and Experimentation\nDesign and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics\n\nCalculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation\n\nBuild repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams\n\nPartner 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\n\nMedia Mix Modeling and Forecasting\nBuild and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation\n\nIncorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results\n\nTurn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on\n\nContext, Tooling, and Data Integrity\nOwn 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\n\nUse 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\n\nIdentify 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\n\nYou Might Be a Good Fit If You\nHave 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth\n\nDeeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete\n\nAre advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling\n\nHave hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product\n\nHave built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment\n\nHave strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance\n\nThink 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\n\nCan 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\n\nAre 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\n\nCommunicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation\n\nThrive in async, autonomous environments and are energized by building a measurement function from the ground up\n\nNice to Haves\nExperience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes\n\nExperience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation\n\nFamiliarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools)\n\nWhat We Offer\nFully Remote\nWe 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.\n\nESOP\nEvery team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.\n\nTech Allowance\nUse this budget to set up your ideal work environment-laptop, monitor, headphones, or whatever helps you do your best work.\n\nHealth Benefits\nSupabase 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.\n\nAnnual Off-Sites\nOnce 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.\n\nFlexible Work\nWe operate asynchronously and trust you to manage your own time. You know what needs to be done and when.\n\nProfessional Development\nEvery team member receives an annual education allowance to spend on learning-courses, books, conferences, or anything that supports your growth.\n\nAbout the Team\nSupabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.\n~400 team members\n\n60+ countries\n\n20+ languages spoken\n\nOver $1B raised (including our $500M Series F)\n\n540,000+ community members\n\nWe move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. 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