Senior Data Analyst

Job d:

Location:

United States, Washington, Redmond Salary: USD $106,400 - $203,600 per year

Employment type:

Full-Time Work site: 3 days / week in-office

Role type:
Individual Contributor Travel:
Less than 25%
Profession:
Analytics Discipline:
Data Analytics Company:
Microsoft Overview 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. Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.  

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 Required/minimum 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 analysisOR 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 analysisOR equivalent experience.

Additional or preferred qualifications

Master's Degree in Mathematics, Analytics, Data Science, Engineering,…