Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters.

Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Responsibilities:

Build and extend our people-analytics MCP server: add new datasets, improve answer quality, and cut response times.
Diagnose and fix bugs across our AI tools, and test rigorously before things ship.

Partner across the People Analytics team to build and test GitHub Copilot skills that encode analytical methods.

Prototype new solutions as opportunities emerge across our workstreams, partnering with senior teammates and adapting quickly as priorities shift in a fast-moving, still-forming space.

Stay embedded with analysts: learn where the tools fall short and turn that feedback directly into improvements that people actually adopt.

Help others level up: share what you learn, teach new AI tools and techniques, and contribute to a growing skills community across the team.

Build responsibly with sensitive people data: bake confidentiality, access, and guardrails into what you ship, and handle governed data with strict adherence to privacy requirements and appropriate legal reviews.

Required Qualifications

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.

Preferred Qualifications

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.