3 дня назад
Data Analyst, People Analytics (AI)
86 100 - 169 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, People Analytics (AI): Building AI-powered people-analytics tools and an MCP server that provide trusted, self-serve answers from governed HR data with an accent on analytical methods, answer quality, and responsible data handling. Focus on extending datasets, improving response times, testing AI capabilities, diagnosing tool failures, and embedding privacy guardrails into production solutions.
Location: Redmond, Washington, United States; 3 days per week in-office
Salary: USD $86,100–$169,800 per year across the U.S.; USD $113,300–$187,400 per year in the San Francisco Bay Area and New York City metropolitan area.
Company
is part of Microsoft, whose People Analytics team builds AI systems for trusted, self-service access to people data.
What you will do
- Build and extend the people-analytics MCP server by adding datasets, improving answer quality, and reducing response times.
- Diagnose and fix bugs across AI tools and test changes rigorously before release.
- Partner with People Analytics colleagues to build GitHub Copilot skills that encode analytical methods.
- Prototype solutions for emerging workstreams and adapt to changing priorities.
- Work closely with analysts to identify tool gaps and convert feedback into improvements that scale.
- Teach AI tools and techniques, support skills development, and build privacy, access, and governance guardrails for sensitive people data.
Requirements
- Master’s degree in mathematics, analytics, data science, engineering, computer science, business, economics, or a related field; or a relevant bachelor’s degree with 2+ years of applicable experience; equivalent experience may be considered.
- Applicable experience may include data analysis and reporting, data science, business intelligence, or business and financial analysis.
- Ability to work in the Redmond, Washington office 3 days per week.
- Experience or interest in building and testing AI-enabled analytical tools and applying privacy requirements to governed data.
Nice to have
- Master’s degree with 3+ years of applicable experience.
- Bachelor’s degree with 5+ years of applicable experience.
Culture & Benefits
- Collaborative environment focused on a growth mindset, learning, innovation, respect, integrity, and accountability.
- Opportunity to work with tools including Cowork, Scout, and GitHub Copilot and provide feedback to their product groups.
- Potential eligibility for benefits and additional compensation.
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