Build and own analytics data models
Write clean, maintainable SQL against Snowflake to power core metrics, dashboards, and analytical workflows.
Build and iterate on analytics metrics and tables
Build and iterate on metrics and tables in dbt, and surface them through dashboards in Sigma to help teams understand product usage, performance, and change over time.
Explore data deeply to answer open-ended questions
Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to investigate trends, anomalies, and product behavior and connect analyses back to real business questions.
Help operationalize data
Support reverse ETL workflows using Census, helping make modeled data actionable in the tools teams use day-to-day.
Translate questions into insight
Partner with cross-functional teams to turn ambiguous questions into clear, useful analytical outputs.

Strong SQL fundamentals — comfortable with joins, CTEs, window functions, and clear query structure
Experience building analytical data models or metrics tables using dbt or similar analytics-engineering workflows
Comfortable working with BI tools like Sigma, Looker, Tableau, Mode, or similar
Strong analytical intuition — able to ask the right questions, explore data thoughtfully, and synthesize clear, well-reasoned conclusions
Clear communicator who can share insights with technical and non-technical partners
Deeply curious about product usage and business performance — motivated to go beyond the what to understand the why, without getting lost in rabbit holes
2+ years of full-time work experience in a related role

All employees can work for free with world-class coaches who specialize in creativity, management, and more.

GTM Data Analyst

Key skills