Senior Data Analyst

Role overview

Responsibilities

• Translate ambiguous business questions into analytical problems and plans; communicate evidence, assumptions, and trade-offs to stakeholders.
• Analyze large datasets using SQL and Python or R; apply statistical methods to diagnose outcomes and generate actionable insights.
• Build scalable Power BI semantic models with DAX and dimensional modeling; maintain shared metrics and business logic.
• Design impact evaluations with hypotheses, success metrics, guardrails, and result interpretation.
• Create reusable analytical tools and data products; collaborate with economists, data scientists, engineers, and business teams.

Required qualifications

• Master's degree in a listed or related field plus at least two years of relevant experience, or bachelor's degree in a listed or related field plus at least four years, or equivalent experience.
• Relevant fields include mathematics, statistics, analytics, data science, engineering, computer science, business, and economics.
• Strong quantitative and programming skills; experience analyzing data and translating results into business recommendations.

Preferred qualifications

• Master's degree in a relevant field plus at least four years of relevant experience, or bachelor's degree plus at least six years, or equivalent experience.
• Experience applying statistics or data science to pricing, monetization, or related business problems.
• Experience building Power BI dashboards and semantic models on Microsoft Fabric.

Pay

• The typical US base pay range is $106,400 to $203,600 per year; a separate range of $137,600 to $222,600 per year applies to the San Francisco Bay Area and New York City metropolitan area.

Application timing

• Applications are accepted on an ongoing basis until the position is filled; the posting will remain open for at least five days.