Minimum qualifications

• 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships)
• SQL fluency — complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets
• Python for analysis — pandas and statistical libraries; you don’t freeze when the answer requires code
• Experimentation chops — hypothesis testing, sample sizing, and the judgment to tell a p-value from an insight
• A track record of moving metrics you cared about (we’ll ask you to walk us through one)
• Direct communication — you can tell a leader an uncomfortable answer without burying it in caveats