The Office of the Chief Economist is a group of economists, data scientists, analysts, and engineers whose work informs decisions across Microsoft’s largest businesses. We are looking for a Senior Data Analyst with strong quantitative and programming skills to turn complex, ambiguous business questions into actionable recommendations for business and product organizations across Microsoft. You will work directly with partners in organizations such as Microsoft 365 and Azure to identify opportunities to drive business impact, translate business questions into rigorous analytical frameworks, and deliver insights that inform measurable business decisions.
The role spans descriptive and statistical analysis, visualization, and the development of reusable analytical tools. You will also collaborate closely with economists and data scientists to apply modern methods in prediction, causal inference, and experimentation. Success in this role requires strong analytical judgment, technical depth, and the ability to translate complex results into clear business insights.
Responsibilities
- Translate ambiguous business questions into well-defined analytical problems and analysis plans.
- Communicate evidence, assumptions, and trade-offs to build stakeholder alignment and translate recommendations into implemented decisions.
- Analyze large and complex datasets using SQL and a general-purpose programming language such as Python or R.
- Apply statistical and analytical methods to identify patterns, quantify relationships, diagnose business outcomes, and develop 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 to ensure consistent, trusted reporting across Power BI products.
- Design impact evaluations, including hypotheses, success metrics, guardrails, and interpretation of results.
- Build reusable analytical tools and data products that enable repeatable decision-making and reduce manual analysis.
- Partner with economists, data scientists, engineers, and business teams to define analytical objectives, prioritize work, and establish success metrics.
- Embody our Culture & Values.
Qualifications
- 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 AND 4+ years of 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 AND 6+ years of experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.
- 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.
Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Master's degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 2+ years of relevant experience; or bachelor's degree in a related field and 4+ years of relevant experience; or equivalent experience.
- Relevant experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
- Master's degree in a related field and 4+ years of relevant experience; or bachelor's degree in a related field and 6+ years of relevant experience; 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.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Healthcare Strength — Health coverage is described as comprehensive, with preventive care coverage, vision options, and annual out-of-pocket limits. Feedback suggests medical, mental-health, and disability support are a major strength of the package.
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Parental & Family Support — Family support is expansive, including parental leave, family caregiver leave, child-care assistance, family concierge services, fertility options, and college-advising support for eligible employees. Feedback suggests these benefits meaningfully ease caregiving and family planning demands.
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Wellbeing & Lifestyle Benefits — Wellbeing resources include counseling and employee-assistance services, wellness reimbursements, product discounts, and charitable-matching programs. Feedback suggests these extras complement core benefits and support day-to-day quality of life.
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