Senior Data Analyst – Marketing (Remote) | Supabase

Location: Remote
Employment Type: Full-time
Department: Growth
Company: Supabase

Are you an experienced marketing analytics professional looking for a fully remote opportunity with a global technology company? Supabase is hiring a Senior Data Analyst – Marketing to join its Data Intelligence team and help build the measurement foundation behind its paid and product-led growth (PLG) channels.

This role is focused on helping Marketing and Growth teams move beyond platform-reported metrics and vanity numbers to develop trusted, data-driven insights into what actually drives pipeline, revenue and growth efficiency.

About Supabase

Supabase is a Postgres development platform built for developers. The company provides a complete backend solution that includes Database, Auth, Storage, Edge Functions, Realtime and Vector Search.

Its products are deeply integrated and designed to help developers and businesses build and scale applications.

Supabase operates as a globally distributed, remote-first company with a strong focus on open-source development and asynchronous collaboration.

About the Senior Data Analyst – Marketing Role

The Senior Data Analyst – Marketing will join Supabase's Data Intelligence team and take ownership of marketing measurement across paid and PLG channels.

The successful candidate will work closely with Marketing, Growth and channel teams to answer important business questions around marketing effectiveness, attribution, experimentation, pipeline, revenue and investment efficiency.

The role is particularly suited to someone who enjoys working independently in a fast-paced environment, uses AI tools as part of their daily workflow and is excited about building a marketing measurement function from the ground up.

Key Responsibilities

Marketing Measurement Strategy

The Senior Data Analyst will be responsible for developing and managing the company's marketing measurement strategy.

Key responsibilities include:

• Owning the end-to-end marketing measurement strategy across experimentation, media mix modeling and attribution for paid and PLG channels.
• Establishing and evolving the attribution framework used to connect platform data, multi-touch attribution, media mix modeling and experiments.
• Translating complex measurement results into practical recommendations around investment, budget reductions and growth opportunities.
• Helping teams make decisions around pipeline, revenue and efficiency metrics such as CAC, payback period and LTV-to-CAC.
• Serving as a subject matter expert on marketing measurement.
• Educating stakeholders about causality, model uncertainty and the limitations of platform-reported metrics.

Incrementality and Experimentation

The role will involve designing and analyzing experiments to determine the true incremental impact of marketing activities.

Responsibilities include:

• Designing and running ongoing incrementality tests at both user and geographic levels.
• Measuring incremental lift, incrementality percentage and incremental ROAS/CPA.
• Using experiment results to guide marketing budget allocation.
• Creating repeatable analysis templates and playbooks for experiment design, analysis and reporting.
• Working with channel owners across paid search, paid social, lifecycle marketing, website and SEO.
• Developing and prioritizing an experimentation roadmap.
• Integrating experimentation into campaign planning, creative testing and audience strategy.

Media Mix Modeling and Forecasting

The successful candidate will also contribute to media mix modeling and marketing forecasting.

This includes:

• Building and maintaining media mix models using historical marketing data.
• Estimating channel contribution, marginal returns and optimal budget allocation.
• Accounting for seasonality, adstock and saturation effects.
• Validating model performance through backtesting.
• Comparing media mix modeling results with experiment findings.
• Creating budget scenarios and forecasts across channels and regions.
• Communicating modeling insights in a way that non-technical stakeholders can easily understand and act upon.

Data Integrity and Analytics Tooling

The Senior Data Analyst will help marketing teams develop reliable self-service analytics capabilities.

Responsibilities include:

• Developing clear metric definitions and model documentation.
• Creating reusable analysis frameworks and patterns.
• Helping marketing teams perform accurate self-service analytics.
• Using AI tools to accelerate analysis and explore insights beyond traditional analyst workflows.
• Helping establish AI-forward practices across the marketing organization.
• Identifying gaps and inconsistencies in marketing data.
• Investigating issues involving tracking, marketing spend and platform exports.
• Working with relevant teams to resolve data problems at their source rather than applying downstream fixes.

Eligibility Requirements

Candidates should have:

• At least 6 years of experience in marketing analytics, data science or a related field.
• Experience focused on performance marketing and/or product-led growth.
• Advanced SQL skills.
• Proficiency in at least one statistical programming language, such as Python or R.
• Strong knowledge of marketing attribution, incrementality testing and media mix modeling.
• Hands-on experience designing, running and interpreting experiments across digital marketing channels.
• Experience with channels such as search, social, display, email or in-product marketing.
• Experience building or working closely with media mix models and/or advanced attribution models.
• Strong understanding of growth metrics including CAC, LTV, payback period, conversion rates and funnel performance.
• Strong analytical and business judgment.
• Ability to build scalable self-service analytics tools and frameworks.
• Ability to communicate technical and analytical concepts clearly to non-technical stakeholders.
• Experience working independently in asynchronous and autonomous environments.
• An AI-forward approach to analytics and data work.

Preferred Qualifications

The following experience would be an advantage:

• Experience working in BaaS, DevRel or open-source developer tools companies.
• Experience connecting marketing investment with pipeline and revenue outcomes.
• Experience with applied econometrics.
• Knowledge of time-series modeling.
• Experience with Bayesian methods for media mix modeling and experimentation.
• Familiarity with Google Ads, Meta, LinkedIn and other digital advertising platforms.
• Experience with web analytics platforms.
• Familiarity with CDPs.
• Experience using BI and data visualization tools.

Skills and Experience

This position requires a combination of technical analytics expertise, marketing knowledge and strong communication skills.

The ideal candidate should be comfortable working with statistical models and experimentation while also being able to explain the business implications of their findings.

Supabase is particularly interested in candidates who can build systems and frameworks that enable marketing teams to answer their own analytical questions rather than becoming dependent on a single analyst.

What Supabase Offers

Fully Remote Work

Supabase hires globally and operates without traditional offices. Employees can work remotely from locations around the world.

The company provides a WeWork membership or co-working allowance that can be used anywhere in the world.

Equity Ownership

Every team member receives ESOP (equity ownership), allowing employees to share in the potential upside of the company.

Technology Allowance

Employees receive a technology allowance that can be used to create their preferred home working setup, including equipment such as laptops, monitors and headphones.

Health Benefits

Supabase covers 100% of health insurance for employees and 80% for dependents, wherever applicable.

Annual Off-Sites

The company organizes an annual company-wide off-site where team members gather in a new city for collaboration, connection and team activities.

Flexible Working

Supabase operates asynchronously and gives employees flexibility to manage their schedules while remaining accountable for their responsibilities and deadlines.

Professional Development

Employees receive an annual education allowance that can be used for courses, books, conferences and other professional learning opportunities.

About the Supabase Team

Supabase is a remote-first and open-source-focused company with a globally distributed workforce.

The company has:

• Approximately 400 team members.
• Employees across more than 60 countries.
• More than 20 languages spoken across the team.
• More than $1 billion raised.
• More than 540,000 community members.

Supabase emphasizes rapid development, public collaboration and active participation in the open-source ecosystem.

Why Apply for This Role?

This opportunity is well suited to an experienced data analyst who wants to have significant influence over marketing strategy and measurement.

Rather than focusing only on reporting dashboards, the Senior Data Analyst – Marketing will help determine which marketing activities genuinely contribute to growth, how marketing investments should be allocated and how experimentation can improve business decisions.

The role also provides an opportunity to work in a globally distributed technology company while helping establish its marketing measurement capabilities.

How to Apply

To apply for the Senior Data Analyst – Marketing position at Supabase, click the Apply button below and complete the online application.

Applicants should ensure their application clearly demonstrates their relevant experience in marketing analytics, experimentation, attribution, media mix modeling, SQL, statistical programming and growth measurement.

Job Details

Job Title: Senior Data Analyst – Marketing
Company: Supabase
Department: Growth
Employment Type: Full-time
Work Location: Remote
Work Arrangement: Fully remote
Experience Level: Senior
Application: Online