Staff Data Analyst, GTM

Posted 5 days ago

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About the role

  • Staff Data Analyst at Supabase helping to build analytical foundations for sales while working remotely. Collaborating with teams to connect data systems and provide insights for business strategy.

Responsibilities

  • 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
  • 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
  • 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
  • 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

Requirements

  • 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

Benefits

  • Fully Remote
  • ESOP
  • Tech Allowance
  • Health Benefits
  • Annual Off-Sites
  • Flexible Work
  • Professional Development

Job title

Job type

Full Time

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

RemoteWorldwide

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