Microsoft

Data Analyst, People Analytics

Microsoft$86K — $169K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's Degree in a relevant field or Bachelor's Degree with 2+ years of experience in data analysis
  • Strong understanding of AI tools and people analytics systems
  • Experience in building and improving data-driven tools for user accessibility
  • Ability to diagnose technical issues and implement solutions in AI software
  • Background in data privacy and handling sensitive information

Responsibilities

  • Build and enhance people-analytics server by integrating new datasets and improving response times
  • Identify and resolve bugs in AI tools, ensuring quality before deployment
  • Collaborate with others to develop GitHub Copilot skills that encapsulate analytical methods
  • Prototype innovative solutions and adapt quickly to changing project priorities
  • Engage with analysts to understand tool limitations and implement user-informed improvements
  • Educate team members on new AI tools and techniques to foster a skills community
  • Ensure responsible use of sensitive data with strong privacy and security measures

Benefits

  • Comprehensive health insurance options
  • Retirement plan with company match
  • Generous paid time off and holiday schedule
  • Professional development and training opportunities
  • Flexible work arrangements and work-life balance initiatives
Full Job Description
Overview

Are you an analyst who's found you'd rather build the tools than run the reports? Do you get energy from new AI technology and from helping the people around you get better at using it? We're looking for someone to do exactly that, in the context of Microsoft's biggest asset: our people.

This is a great opportunity to join Microsoft's People Analytics team as we build the AI systems that put trusted, self-serve people-data answers in the hands of the whole HR community. Our thesis is simple: AI handles the breadth so our people can go deeper - self-serve answers the common questions, and we move up the stack to judgment, methodology, and trust. We don't just answer analytical questions; we encode how our analysts think into AI-ready skills and tools so every answer is consistent, governed, and trustworthy.

In this role you'll be hands-on building capacity across our team: using GitHub Copilot to add capabilities to our AI tools, improve how they perform, and fix what's broken, while staying embedded with the analysts who use them, so what we build reflects what they actually need and reaches people at scale. As a super-user of tools like Cowork, Scout, and GitHub Copilot, you'll also work directly with the product groups behind them, sharing feedback that shapes the roadmap of Microsoft's own AI products. You'll work alongside fellow "learn-it-all" builders who are passionate about their work and eager to collaborate, and you'll help bring the broader People Analytics team along as we all learn to work in new ways.

This is not a traditional analyst role - you won't be producing analyses or reports. Instead, you'll use your analytical background to build the tools that let others get those answers themselves, and to be the voice of the analyst inside our team.

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.


Qualifications

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.


Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $86,100 - $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 $113,300 - $187,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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