Staff Data Analyst, GTM
Supabase - Remote
Posted Jun 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Staff Data Analyst, GTM Remote 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 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
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