Supabase
Technology
StaffDataAnalyst,GTM
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Analyst, GTM at Supabase. Skills: Data Intelligence, Data Products, AI-Forward Analysis. Build GTM data products. Own GTM data products”
What You'll Achieve.
Turn signals into data products; Turn signals into actionable insight
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
6+ years in analytics, Experience building data models and BI layers, Experience with CRM, product usage, and billing data, Experience in PLG or usage-based business, SQL proficiency
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Build GTM data products
Own GTM data products
Define metric standards
Document metric standards
Serve as analytical resource
Translate business questions
Build self-service tools
Own analytics function
Connect product usage data
Identify system inconsistencies
Resolve system issues
Go deeper than analyst
How You'll Work.
Team & Collaboration
Sales; Customer Success; GTM Ops; Data Intelligence team; Cross-functionally
Communication Scope
Communicate insights
Full Job Description
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 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, inc
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