Turn complex business questions into evidence-based recommendations using analysis, visualization, and reusable decision tools.

Clarify ambiguous business questions into defined analytical problems and analysis plans.
Present evidence, assumptions, and trade-offs to align stakeholders and support implemented decisions.
Work with large, complex datasets using SQL and a general-purpose programming language such as Python or R.
Use statistical and analytical methods to find patterns, quantify relationships, diagnose outcomes, and deliver actionable insights.
Design and optimize scalable Power BI semantic models using DAX and dimensional modeling techniques.
Define and maintain shared metrics, measures, and business logic for consistent, trusted reporting across Power BI products.
Design impact evaluations, including hypotheses, success metrics, guardrails, and result interpretation.
Build reusable analytical tools and data products to enable repeatable decision-making and reduce manual analysis.
Partner with economists, data scientists, engineers, and business teams to define analytical objectives, prioritize work, and set success metrics.
Embody Microsoft’s Culture & Values.

Master’s Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
OR Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
OR equivalent experience.
Master’s Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field with 4+ years experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.
OR Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field with 6+ years experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.

Experience applying statistics or data science to pricing, monetization, or related business problems.
Experience building Power BI dashboards and semantic models on Microsoft Fabric.

The Office of the Chief Economist includes economists, data scientists, analysts, and engineers whose work informs decisions across Microsoft’s largest businesses.
Work includes descriptive and statistical analysis, visualization, and development of reusable analytical tools.
Collaborate closely with economists and data scientists on modern methods including prediction, causal inference, and experimentation.

Location: Redmond, WA (onsite)

Compensation: USD 106,400 - 222,600 per year

Minimum experience: 2 years

Senior Data Analyst

Job Description