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Data Analyst, People Analytics
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Based on Washington data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$93,213 / year median in Washington
+13% projected growth
Job Description
- 4.2 Redmond, WA Job Details Full-time $86,100
- $187,400 a year 5 hours ago Qualifications AI use case identification Economics Data compliance Master's degree in business Statistics Data analysis reporting Computer Science Data privacy compliance management Bachelor's degree in statistics Tooling HR analytics AI tools proficiency Bachelor's degree in business Mathematics Bachelor's degree in economics Mid-level Collaboration with product development teams Bachelor's degree in engineering Prototype creation Master's degree in statistics GitHub Master's degree in mathematics Master's degree in computer science Data science Bachelor's degree in mathematics Master's degree in engineering Business Bachelor's degree in computer science 2 years Prototypes Full Job Description Overview Are you an analyst who's found you'd rather build the tools than run the reports?
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.
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.