Senior Data Analyst

Microsoft•Redmond, WA

About The Position

The Senior Data Analyst will work in Microsoft’s Office of the Chief Economist, a group of economists, data scientists, analysts, and engineers whose work informs decisions across Microsoft’s largest businesses. The role turns complex, ambiguous business questions into actionable recommendations for business and product organizations, including partners in Microsoft 365 and Azure. It spans descriptive and statistical analysis, visualization, and development of reusable analytical tools, with collaboration alongside economists and data scientists applying methods in prediction, causal inference, and experimentation. Success requires strong analytical judgment, technical depth, and the ability to communicate complex results as clear business insights. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Employees bring a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Microsoft emphasizes respect, integrity, accountability, and an inclusive work environment where everyone can thrive.

Requirements

Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 2+ years of experience in data analysis and reporting, data science, business intelligence, or business and financial analysis; or a bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 4+ years of such experience; or equivalent experience.
Strong quantitative and programming skills.
Experience analyzing large and complex datasets using SQL and a general-purpose programming language such as Python or R.
Ability to translate complex results into clear business insights.

Nice To Haves

Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 4+ years of experience in data science, data analysis and reporting, business intelligence, or business and financial analysis; or a bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 6+ years of such 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.

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 Microsoft’s Culture & Values.