Staff Data Analyst, GTM

Supabase

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

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.

Responsibilities

  • Build and own canonical GTM data products including ARR, pipeline, and account health
  • Define and document GTM metric standards across the organization
  • Build and maintain underlying data models for GTM reporting
  • Serve as the dedicated analytical resource for Sales, Customer Success, and GTM Ops leadership
  • Translate business questions into analytical specs and decision-ready findings
  • Build self-service tools to enable GTM teams to answer their own questions
  • Connect CRM, product usage, and billing data to create a complete customer picture
  • Use AI tools to accelerate analysis and establish AI-forward workflows

Requirements

  • 6+ years in analytics with experience supporting Sales, Customer Success, or GTM Ops
  • Experience building data models and BI layers from scratch
  • Proficiency working with CRM, product usage, and billing data
  • Experience in a PLG or usage-based business model
  • Ability to communicate insights clearly to non-technical stakeholders
  • Habitual use of LLMs and AI tooling in analytical workflows
  • Ability to thrive in async, autonomous environments

Benefits

  • Fully Remote work with global hiring
  • ESOP (equity ownership)
  • Tech Allowance for home office setup
  • 100% covered health insurance for employees
  • Annual company off-sites
  • Annual professional development allowance

Skills & tools

Data AnalysisSQLCRM

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016+ years in analytics
  2. 02Experience supporting Sales/CS/GTM Ops
  3. 03Experience building data models from scratch
  4. 04Experience with PLG or usage-based models
  5. 05AI-forward workflow approach
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