Staff Fullstack Data Analyst
Core
Architectural direction for commercial analytics layer powering GTM engine (acquisition, retention, propensity modelling, customer health) and serving RevOps, CX, and AI tools.
Role type
Staff Full Stack Data Analyst (Commercial Analytics)
Builds
Production-grade analytics layer, semantic layer definitions, and self-serve/AI-ready data structures for growth and retention.
Domain
SaaS / Commercial Analytics / Growth Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, Python, BigQuery, modern BI tools (Looker/Omni), data contracts, data governance, experimentation design, stakeholder management, mentoring
Preferred skills
Commercial analytics specialization, systems thinking, AI tool integration, cross-team engineering standards
Technologies
SQL, dbt, Python, BigQuery, Looker, Amplitude, HubSpot, Zuora, Vitally
Responsibilities
Define architectural direction for analytics layer; resolve upstream data quality issues as governance problems; define canonical GTM metric definitions; partner with senior leadership on strategic questions; lead analysis of customer behavior and retention; govern experimentation methodology; design analytics for self-serve and AI consumption; mentor analysts and raise team capability.
Seniority
Staff, hands-on IC with strategic scope