HR Data Analyst, People Analytics

• Own and support the end-to-end analytical process for people-related business questions and outcomes spanning the employee life cycle
• Translate often ambiguous business questions/needs into appropriate analytical problems, do high-quality analysis, and turn outputs into concrete, actionable business insights
• Analytical projects will range from proactive, complex, longer term deliverables to very short-fused, reactive, quick-and-dirty insights we can provide "just-in-time" in order to impact a decision that will be made immediately
• Contract with customers, partners, and co-workers to define research questions, analysis plans, and deliverable timelines
• Work directly with data, from initial extraction through preliminary statistical analysis to results validation
• Translate findings into succinct, actionable business insights, often in coordination with partners who help you tell a holistic story
• Communicate results effectively for impact, and provide follow-up insights in a timely manner
• Adapt quickly to shifting business priorities and work effectively under pressure with multiple deliverables and deadlines
• Self-directed learning with a passion for innovation and discovering new insights

Do you enjoy using your quantitative and analytical skills to find and solve big problems? Are you passionate about enabling data-based decisions to tackle strategic challenges? We are looking for someone to do just that in the context of Microsoft's biggest asset - our people., * Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, 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 equivalent experience., * Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ 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 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

• Strong statistical analysis skills and knowledge of statistical software (for example, Python or R), including the application of multivariate models.
• Strong attention to detail, high commitment to accuracy, and adherence to data privacy and confidentiality

Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 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 $112,000 - $185,300 per year.

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.