Senior Data Analyst
About The Position
The Office of the Chief Economist is seeking a Senior Data Analyst to turn complex, ambiguous business questions into actionable recommendations for business and product organizations across Microsoft. The analyst will work directly with partners in organizations such as Microsoft 365 and Azure to identify opportunities for business impact, develop rigorous analytical frameworks, and deliver insights that inform measurable business decisions. The role includes descriptive and statistical analysis, visualization, and development of reusable analytical tools. The analyst will collaborate with economists and data scientists on methods including prediction, causal inference, and experimentation. Success requires strong analytical judgment and technical depth, along with the ability to explain complex results as clear business insights. Microsoft describes its mission as empowering every person and organization to achieve more and emphasizes a growth mindset, innovation, collaboration, respect, integrity, accountability, and an inclusive workplace.
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 ambiguous business questions into analytical problems and actionable recommendations.
- Ability to communicate analytical evidence, assumptions, trade-offs, and results clearly to stakeholders.
- Experience with statistical and analytical methods, visualization, and impact evaluation.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
