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Senior Data Analyst - Marketing
Contract type
Ongoing
Work mode
Remote · Worldwide
Experience
Senior · 6+ years
Job description
Senior Data Analyst, Marketing role on Supabase's Data Intelligence team, building the measurement foundation across paid and PLG channels. The role owns marketing measurement strategy, incrementality testing, and media mix modeling to inform budget and pipeline decisions.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Worldwide
What you'll do
- 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 (paid search, paid social, lifecycle, website/SEO) 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, not just dashboards
- Use 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
- Identify 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
What we're looking for
- 6+ years 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 modeling, and how they complement each other rather than compete
- Advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling
- Hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product
- Have built or worked closely 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
- Think in terms of self-service and scale: build tools and frameworks that make marketing teams independently capable, not become the bottleneck for every "did this work" question
- Can hold technical and strategic context at once: comfortable in a model's residuals as in a conversation about budget tradeoffs
- AI-forward in how you work: use LLMs and AI tooling habitually and have 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 are energized by building a measurement function from the ground up
Nice to have
- Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes
- Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation
- Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools)
Your team
Data Intelligence
Team focused on building the measurement foundation for marketing across paid and PLG channels.
Benefits
- Fully Remote
- ESOP
- Tech Allowance
- Health Benefits
- Annual Off-Sites
- Flexible Work
- Professional Development
Apply
About Supabase
The Postgres development platform, built by developers for developers
Supabase provides a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
Key facts
- ~400 team members
- Postgres development platform
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
- Born-remote and open-source-first
- No Supabase offices
What they value
- We move fast, build in public, and use what we ship
- We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities