Original listing text, shown exactly as published by the company.
About the Role
We're looking for a Staff Data Analyst, GTM to join our Data Intelligence team and help build the analytical foundation that powers Supabase's growing sales org. You'll work closely with Sales, Customer Success, and GTM Ops, helping us connect the dots between systems, data, and strategy -- turning raw signals into trusted data products and actionable insight for GTM leadership.
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 something from the ground up alongside a scaling sales team.
What You’ll Be Responsible for
GTM Data Products
- Build and own the canonical data products that Sales, CS, and GTM Ops rely on -- ARR, pipeline, account health, expansion signals, and renewal tracking
- Define and document GTM metric standards so the whole org is working from consistent definitions
- Build and maintain the underlying data models that power GTM reporting and analysis
Stakeholder Partnership
- Serve as the dedicated analytical resource for Sales, Customer Success, and GTM Ops leadership
- Translate business questions into clean analytical specs and deliver decision-ready findings
- Build self-service tools and context layers that enable GTM teams to answer their own questions -- the goal is scale, not dependency
- Own the GTM analytics function end-to-end, from data model to business strategy
Systems and Data Connectivity
- Connect the dots between CRM, product usage, and billing data to give GTM teams a complete picture of the customer
- Identify gaps and inconsistencies across systems and work cross-functionally to resolve them
AI-Powered Analysis
- Use AI tools to accelerate analysis, increase output, and go deeper than a traditional analyst workflow allows
- Help establish AI-forward ways of working within the Data Intelligence team and model that approach for the broader GTM org
You Might Be a Good Fit If You
- Have 6+ years in analytics with meaningful time directly supporting Sales, Customer Success, or GTM Ops
- Have built data models and BI layers from scratch, not just consumed them -- you understand the full stack from raw source data to business-facing output
- Are comfortable working with CRM, product usage, and billing data and know how to connect them into a coherent picture of the customer
- Have experience in a PLG or usage-based business and understand how self-serve signals translate into sales motion
- Think in terms of self-service and scale -- your instinct is to build tools that make GTM teams independently capable, not to become a bottleneck
- Can hold both the technical and strategic context at once -- you're as comfortable in a data model as you are in a conversation about territory design or expansion strategy
- Are AI-forward in how you work -- you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do
- Communicate insights clearly to non-technical stakeholders and know how to make data land in a business conversation
- Thrive in async, autonomous environments and are energized by building something from the ground up
