Senior Data Analyst - Marketing

• Join the Data Intelligence team to build the measurement foundation that reveals what is actually working across paid and PLG channels. • Move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. • Build a measurement function from the ground up in an async, fast-paced, AI-forward environment.

• Bring 6+ years of experience in marketing analytics, data science, or a related role with a focus on performance marketing and/or PLG growth. • Deeply understand marketing attribution, incrementality testing, and media mix modelling, and how they complement each other rather than compete. • Be advanced in SQL and at least one statistical programming language such as Python or R for experiment analysis and modelling. • Have hands-on experience designing, running, and interpreting experiments across digital marketing channels including search, social, display, email, and in-product. • Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment. • Have strong business acumen and fluency in growth metrics such as CAC, LTV, payback period, conversion rates, and funnel performance. • Think in terms of self-service and scale, building tools and frameworks that make marketing teams independently capable. • Hold technical and strategic context at once, being as comfortable in a model's residuals as in a conversation about budget tradeoffs. • Be AI-forward in how you work, using LLMs and AI tooling habitually with a clear point of view on how it changes what an analyst can do. • Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation. • Thrive in async, autonomous environments and be energised by building from the ground up.

• Have experience in BaaS, DevRel, or open-source developer tool companies, connecting marketing spend to pipeline and revenue outcomes. • Bring experience with applied econometrics, time-series modelling, or Bayesian methods for MMM and experimentation. • Have familiarity with common marketing and analytics tools such as Google Ads, Meta, LinkedIn, web analytics, CDPs, and BI/visualisation tools.

• Own the end-to-end marketing measurement strategy across experimentation, media mix modelling, and attribution for paid and PLG channels. • Establish and evolve the attribution framework defining 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. • Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and limitations of platform-reported metrics. • Design and run always-on incrementality tests at user 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. • Partner with channel owners across paid search, paid social, lifecycle, and website/SEO to build and prioritise an experimentation roadmap. • 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. • Own and build the context and skills that let marketing teams run accurate self-serve analytics. • Identify gaps and inconsistencies in marketing data and work cross-functionally to fix them at the root.

• Work fully remotely from anywhere in the world. • Receive ESOP equity ownership in the company. • Get a tech allowance to set up your ideal work environment. • Receive 100% employer-covered health insurance with 80% coverage for dependents. • Attend annual company off-sites in a new city each year. • Work flexibly and asynchronously with full trust to manage your own time. • Receive a professional development allowance for courses, books, conferences, and learning. • Access a WeWork membership or co-working allowance usable anywhere in the world.

Supabase is the open-source Postgres development platform that 7M+ developers and thousands of enterprises depend on every day. Providing a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, Supabase is born-remote and open-source-first with around 400 team members across 60+ countries. The company has raised over $1B including a $500M Series F.