Supabase
Senior Data Analyst - Marketing
Employer explicitly allows international or location-independent remote work.
Worldwide
Employer listed it 7 weeks ago · Added 5 days ago
Been open since 7 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Worldwide
Work style
Async
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$210k a year, a typical range taken from 260 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from anywhere
The employer explicitly allows candidates to work from anywhere in the world, with no stated country restriction.
What the employer says
- Source listing states candidate location: "Remote, Global"
- Job description states: "work from anywhere"
What Nomaders makes of it
- Check timezone expectations before applying
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the Role
We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue.
This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up.
What You'll Be Responsible for
Marketing Measurement Strategy
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
Incrementality and Experimentation
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 a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy
Media Mix Modeling and Forecasting
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
Context, Tooling, and Data Integrity
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
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ·Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- ·Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- ·Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
How to apply
- 1Check the flexibility label above, work from anywhere, matches where you plan to live and work.
- 2Tailor your CV to the role at Supabase, mentioning your remote working experience and working hours (Async).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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Free to apply, no account needed.
Typically $135k to $210k per year · You'll be taken to the employer's careers page.