# Senior Data Analyst - Marketing

**Company:** [Supabase](https://hotfix.jobs/companies/supabase)
**Location:** Remote
**Role:** Data Analytics
**Experience:** 6+ years
**Skills:** SQL, Python, R, marketing attribution, incrementality testing, media mix modeling, Experimentation, Causal Inference, applied econometrics, time-series modeling, bayesian methods, Google Ads, Meta Ads, linkedin ads, LLMs
**Posted:** 2026-08-04

> The Senior Data Analyst will build marketing measurement across attribution, incrementality testing, media mix modeling, and forecasting for paid and PLG channels. The role requires 6+ years of relevant experience, advanced SQL, Python or R, and strong fluency in growth and marketing efficiency metrics.

## Job Description

## Responsibilities

### 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 spanning platform data, multi-touch attribution, media mix modeling, and experiments.
- Translate measurement outputs into recommendations on investment, budget cuts, pipeline, revenue, and efficiency targets such as CAC, payback, and LTV to CAC.
- Educate stakeholders on causality, model uncertainty, and limitations of platform-reported metrics.

### Incrementality and Experimentation
- Design and run always-on user-level and geo-level incrementality tests.
- Calculate incremental lift, incrementality percentage, and incremental ROAS/CPA.
- Build repeatable experiment design, analysis, and readout templates and playbooks.
- Partner with paid search, paid social, lifecycle, website, and SEO owners on an experimentation roadmap.

### Media Mix Modeling and Forecasting
- Build and maintain media mix models to estimate channel contribution, marginal returns, and optimal budget allocation.
- Incorporate seasonality, adstock, and saturation effects.
- Validate model performance through backtesting and reconciliation with experiment results.
- Turn modeling insights into budget scenarios and channel and regional forecasts.

### Context, Tooling, and Data Integrity
- Build metric definitions, model documentation, and reusable analysis patterns for self-service marketing analytics.
- Use AI tools to accelerate analysis and establish AI-forward practices across marketing.
- Identify and resolve gaps and inconsistencies in tracking, spend, and platform-export data.

## Requirements
- 6+ years of experience in marketing analytics, data science, or a related field, focused on performance marketing and/or PLG growth.
- Deep understanding of marketing attribution, incrementality testing, and media mix modeling.
- Advanced SQL and proficiency in Python or R.
- Hands-on experience designing, running, and interpreting experiments across search, social, display, email, and in-product marketing channels.
- Experience with media mix modeling and/or advanced attribution models.
- Strong business acumen and fluency in CAC, LTV, payback period, conversion rates, and funnel performance.
- Ability to build scalable self-service tools and frameworks.
- Ability to combine technical and strategic context, including model residuals and budget tradeoffs.
- Habitual use of LLMs and AI tooling.
- Clear communication with non-technical stakeholders.
- Ability to work asynchronously and autonomously.

## Nice to Have
- Experience in BaaS, DevRel, or open-source developer-tool companies.
- Experience with applied econometrics, time-series modeling, or Bayesian methods.
- Familiarity with Google Ads, Meta, LinkedIn, web analytics, CDPs, and BI or visualization tools.

## Compensation and Benefits
- Fully remote work with a WeWork membership or coworking allowance.
- ESOP equity ownership.
- Tech allowance.
- Health insurance coverage of 100% for employees and 80% for dependents.
- Annual company off-sites.
- Flexible asynchronous work.
- Annual professional development allowance.

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