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HR Data Analyst, People Analytics

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Multiple Locations

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Category:
Human Resources

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Contract Type:
Not provided

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Salary:

85100.00 - 169800.00 USD / Year
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Job Description:

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. This is a great opportunity to join our evolving HR Business Insights (HRBI) Data Science & Applied Research team as we forge leading practices in people analytics - important work that helps Microsoft empower every person and organization on the planet to achieve more. In this role, you will apply leading-edge data and social science research methods to deliver insights that drive innovative HR practices and support improved employee voice and agency. In addition, you will have the opportunity to work on a range of meaningful analytical projects that will not only provide you with the platform for demonstrating your analytical, statistical and communication capabilities, but will help you to grow them. In this role you will work with fellow “learn-it-all” analysts and data scientists who are passionate about their work, and eager to engage in brainstorming sessions and other forms of close collaboration. You will engage with clients and partners in our HR line units, business groups, and centers of excellence, who are doing industry-leading work across the HR function. You will be supported by a team with a shared commitment to creating an inclusive work environment, where all voices are heard and valued.

Job Responsibility:

  • 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

Requirements:

  • 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.
  • 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

Nice to have:

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.

Additional Information:

Job Posted:
April 11, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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