Data Analyst

What you’ll do

• 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.

What we’re looking for

• 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

Nice to have

• Experience with Snowflake or other similar cloud data warehousing tools
• Comfortable using SQL as the primary analysis tool, with the ability to use Python or R when helpful for deeper or more efficient analysis
• Familiarity with Hex or other notebook-based analysis tools…