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Senior Data Analyst - Marketing

Supabase· Data + Growth
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Remote, GlobalFull-timePosted 2mo ago

About the role

Senior Data Analyst, Marketing to build measurement foundations across paid and PLG channels, driving causal insights beyond vanity metrics and enabling pipeline and revenue growth through robust attribution, MMM, and experimentation.

Responsibilities

  • 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
  • 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 to build and prioritize an experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy
  • 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
  • Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns
  • Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow
  • Identify gaps and inconsistencies in marketing data and work cross-functionally to fix them at the root rather than patching around them downstream

Qualifications

  • 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth
  • Deep understanding of marketing attribution, incrementality testing, and media mix modeling
  • Advanced SQL and at least one statistical programming language (Python or R)
  • Hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product
  • Built or worked with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment
  • Strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance
  • Ability to build self-service tools and frameworks for marketing teams
  • Comfort discussing both model residuals and budget tradeoffs
  • AI-forward mindset with habitual use of LLMs and AI tooling
  • Clear communication to non-technical stakeholders and ability to convey causal nuance in business terms
  • Thrives in async, autonomous environments and is energized by building a measurement function from the ground up

Skills

Required:SQLPython or RExperimental design

Benefits

  • Fully Remote (global hire, with WeWork/co-working allowance)
  • ESOP (equity ownership)
  • Tech Allowance
  • Health Benefits (100% for employees, 80% for dependents)
  • Annual Off-Sites
  • Flexible Work (asynchronous, self-managed)
  • Professional Development (annual education allowance)
Last updated Sep 9, 2026. Interested? Apply on the company site.
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The Postgres Development Platform.

Supabase is the Postgres development platform. Start your project with a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, Storage, and Vector embeddings.

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