below marketmost similar roles pay hereabove market
This role pays less than
67%
of similar roles. Most pay
$126,750–$197,321
— the blue band above.
At the midpoint, this role pays about
$128k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Data Analyst, People Analytics joins the People Analytics team to build AI systems that provide self-serve people-data answers for the HR community. Rather than producing traditional reports, this role focuses on building and extending the people-analytics MCP server, adding datasets, and improving answer quality. You will diagnose bugs, prototype new solutions, and partner with analysts to build GitHub Copilot skills that encode specific analytical methods. Key tools and technologies include GitHub Copilot, Cowork, and Scout. You will work to encode analytical thinking into AI-ready tools while ensuring strict adherence to privacy requirements and confidentiality for sensitive people data. The role requires a background in data science, engineering, or related fields to solve the problem of providing consistent, governed, and trustworthy data answers at scale.
What does a Data Analyst earn?
Median $126775 from 72 postings across 23 companies.
Build and extend the people-analytics MCP server by adding datasets and improving response quality.
Diagnose and fix bugs across AI tools while performing rigorous testing before deployment.
Develop and test GitHub Copilot skills that encode specific analytical methods.
Prototype new technical solutions as opportunities emerge across various workstreams.
Translate feedback from analysts into functional tool improvements and features.
Teach new AI tools and techniques to help team members level up their skills.
Integrate confidentiality, access controls, and privacy guardrails into all data products.
What we're looking for
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field.
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.
Equivalent experience to the required degree and years of 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 (preferred).
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 (preferred).
Experience building and extending MCP servers, including adding datasets and improving answer quality.
Experience diagnosing and fixing bugs across AI tools and performing rigorous testing.
Experience building and testing GitHub Copilot skills to encode analytical methods.
MBSE
Python
DoDAF
Cameo Modeling System
Data Analysis
Natural Language Processing
Jira
Confluence
SharePoint
MS Teams
Microsoft Office Suite
Configuration Management
Systems Engineering
Agile
Python
SQL
Power Automate
Microsoft Power Platform
Databricks
PySpark
Pandas
NumPy
ETL
ELT
Data Visualization
API Integration
Excel
SharePoint
Dataverse
Machine Learning
Predictive Modeling