Senior Data Analyst - Marketing

About this role

The role is for a Senior Data Analyst in Marketing at Supabase, focused on building the measurement foundation for paid and product-led growth channels. The position sits within the Data Intelligence team and aims to move beyond vanity metrics to causal insights on what drives pipeline and revenue. The candidate will work with Marketing, Growth, and channel owners in an async, fast-paced environment and contribute to creating a measurement function from the ground up. Experience in marketing analytics and attribution, MMM, and experimentation is required. Supabase is a fully remote, globally distributed company that provides a Postgres development platform and offers benefits including ESOP, health coverage, and a flexible, async work culture.

What you would do

• Own end-to-end marketing measurement strategy across experimentation, media mix modelling, and attribution for paid and PLG channels.
• Define and evolve the attribution framework integrating platform data, multi-touch attribution, MMM, and experiments to inform decisions.
• Translate measurement outputs into clear recommendations for investment, budget tradeoffs, and achieving pipeline, revenue, and efficiency targets.
• Design and run always-on incrementality tests at user and geo level to quantify causal impact of channels and campaigns.
• Calculate incremental lift, incrementality percent, and incremental ROAS/CPA to guide budget changes.
• Develop repeatable analysis templates and playbooks for experiment design, analysis, and readouts.
• Collaborate with channel owners to build and prioritise an experimentation roadmap integrated into planning and targeting.
• Build and maintain media mix models to estimate channel contribution and guide budget allocation.
• Turn MMM insights into budget scenarios and forecasts accessible to non-technical stakeholders.
• Contribute to data context, definitions, and tooling so marketing teams can self-serve analytics and work with AI-enhanced analyses.

What they are asking for

• 6+ years in marketing analytics, data science, or related roles with a focus on performance marketing or PLG growth.
• Deep understanding of marketing attribution, incrementality testing, and media mix modelling.
• Advanced SQL and proficiency in Python or R for analysis and modelling.
• Hands-on experience designing, running, and interpreting experiments across digital channels (search, social, display, email, in-product).
• Experience building or working with MMM and advanced attribution models, preferably in BaaS or consumption contexts.
• Strong business acumen with fluency in growth metrics: CAC, LTV, payback, conversion rates, funnel performance.
• Ability to create self-serve analytics tools and frameworks to scale marketing analytics.
• Comfort with balancing technical and strategic context and communicating causal nuances to non-technical stakeholders.
• AI-forward mindset and familiarity with using AI tools to accelerate analysis and practice.
• Clear communication skills and ability to engage stakeholders in async, autonomous environments.

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