Senior Data Analyst Marketing Supabase
Overview
Lead marketing measurement strategy to drive pipeline and revenue. Own end-to-end marketing measurement across experimentation media mix modeling and attribution for paid and PLG channels. Build repeatable analysis templates and partner with channel owners to create experimentation roadmap. Differentiate by translating complex measurement outputs into actionable recommendations and establishing AI-forward practices.
What You'll Do11
- 1Design and execute marketing measurement strategy across experimentation media mix modeling and attribution for paid and PLG channels
- 2Own end-to-end marketing measurement strategy including experimentation media mix modeling and attribution
- 3Establish and evolve attribution framework integrating platform data multi-touch attribution MMM and experiments
- 4Translate complex measurement outputs into clear recommendations on investment allocation and target metrics
- 5Incrementality and Experimentation Design and run always-on incrementality tests quantifying causal impact of channels campaigns and tactics
- 6Calculate incremental lift incrementality percent and incremental ROAS CPA to guide budget reallocation
- 7Build repeatable analysis templates and playbooks for experiment design analysis and readouts
- 8Partner with channel owners to build and prioritize experimentation roadmap embedded in campaign planning creative testing and audience strategy
- 9Media Mix Modeling and Forecasting Build and maintain models estimating channel contribution marginal returns and optimal budget allocation
- 10Incorporate seasonality adstock and saturation effects validate model performance through backtesting and reconciliation with experiment results
- 11Turn MMM insights into budget scenarios and forecasts communicated to non-technical stakeholders
Requirements13
- 16+ years in marketing analytics data science or related role focusing on performance marketing and PLG growth
- 2Deep understanding of marketing attribution incrementality testing and media mix modeling complementing each other
- 3Advanced SQL proficiency and statistical programming language Python or R for experiment analysis and modeling
- 4Hands-on experience designing running interpreting experiments across digital marketing channels search social display email in-product
- 5Built or worked with MMM and/or advanced attribution models in consumption or BaaS environments
- 6Strong business acumen with growth metrics CAC LTV payback conversion rates funnel performance
- 7Self-service mindset building tools frameworks for independent marketing team capability
- 8AI-forward approach using LLMs and AI tools habitually with clear perspective on analytical capabilities
- 9Ability to communicate causal nuance to non-technical stakeholders
- 10Thrive in async autonomous environments building measurement functions from the ground up
- 11Experience in BaaS DevRel or open source dev tool companies connecting marketing spend to pipeline and revenue outcomes
- 12Familiarity with econometrics time-series modeling Bayesian methods for MMM and experimentation
- 13Knowledge of Google Ads Meta LinkedIn web analytics CDPs BI visualization tools
Salary Insight
Salary not disclosed in listing
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