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Today

Data Analyst, People Analytics

Microsoft Redmond, WA

Redmond, WA

Today

$86k - $187k/yr Full time Artificial Intelligence Data Analysis Data Analytics

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Job Description

Join Microsoft’s People Analytics team to create AI-powered people-data tools that help the HR community answer questions through self-serve experiences. In this role, you will focus on building and improving the tools themselves, not producing traditional analytics reports. You’ll work onsite in Redmond, WA and partner closely with analysts to strengthen adoption and performance.

Compensation: USD 86,100 - 187,400 per year. For the Data Analytics IC3 role, the typical base pay range across the U.S. is USD $86,100 - $169,800 per year. Location-specific base pay applies for the San Francisco Bay area and New York City metropolitan area, where the range is USD $113,300 - $187,400 per year. Certain roles may be eligible for benefits and other compensation. For additional benefits and pay information, see https://careers.microsoft.com/us/en/us-corporate-pay.

What you’ll do

Build and extend the people-analytics MCP server: add new datasets, improve answer quality, and reduce response times.
Diagnose and fix bugs across AI tools, including rigorous testing prior to release.
Partner with the People Analytics team to build and test GitHub Copilot skills that encode analytical methods.
Prototype new solutions as opportunities emerge, collaborating with senior teammates while adapting quickly as priorities shift in a fast-moving, still-forming space.
Stay embedded with analysts to identify where tools fall short, then convert that feedback into improvements that people actually use.
Help the team grow by sharing learnings, teaching new AI tools and techniques, and contributing to a skills community.
Build responsibly with sensitive people data by incorporating confidentiality, access, and guardrails, and handling 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 a related field OR
Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field, and
2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis, or equivalent experience.

Helpful experience

Master’s degree and 3+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
Bachelor’s degree and 5+ years experience in data analysis and reporting, data science, business intelligence, or business (as applicable).

Tools you may work with

GitHub Copilot
MCP server
Cowork
Scout

Location and timeline

Location: Redmond, WA (onsite). Application timing: This position will be open for a minimum of 5 days and accepted on an ongoing basis until the position is filled.

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2d ago

Applied AI Engineer, Beneficial Deployments (Life Sciences)

Anthropic San Francisco, CA

San Francisco, CA

2d ago

$280k - $320k/yr Full time Agentic Ai Ai Agent Artificial Intelligence

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Job Description

Applied AI Engineer role on Anthropic’s Beneficial Deployments team, focused on maximizing Claude’s impact in life sciences through production deployments and reusable ecosystem tooling.

Responsibilities

Partner with flagship life sciences research institutions by learning their scientific workflows end-to-end and working alongside their engineering teams to move from early exploration to production systems used in day-to-day science.
Build reusable ecosystem infrastructure, including MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), as well as instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt.
Investigate what makes life sciences AI deployment difficult, including heterogeneous data, auditability requirements, and the prototype-to-trust gap, then relay findings back to product, engineering, and research.
Create technical content and documentation that enables partners to self-serve, helping proven approaches scale across institutions without the same level of ongoing hand-holding.

Requirements

Deep research experience in life sciences, biomedical research, or scientific computing.
Bonus: Coursework or study in genomics, neuroscience, or drug discovery, with comfort working at a deep technical level with academics.
Experience building LLM-powered tools or applications, including prompting, context engineering, agent architectures, and evaluation frameworks.
Proven builder credibility through shipping production code as a software engineer, forward-deployed engineer, or technical founder.
Scrappy, multi-hat approach, including comfort building from scratch, driving clarity in ambiguous situations, and taking whatever steps are needed to further the mission.

Technologies

Claude
LLM-powered tools
MCP servers

Benefits

Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space for collaboration with colleagues

About Beneficial Deployments

Ensures AI reaches and benefits communities that need it most.
Partners with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.

About the Role

Primary focus: maximizing the impact of Claude in the life sciences.
Goal: accelerate scientific progress from R&D through translation by an order of magnitude.
Embedded work with flagship research partners including The Howard Hughes Medical Institute (HHMI) and The Allen Institute.
Build production-ready agent prototypes that fit into real research pipelines, plus ecosystem-level tooling such as MCP servers, benchmarks, and reusable agent skills.
Founding role on the Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier.

Minimum Education

Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required Field of Study

A field relevant to the role, demonstrated through coursework, training, or professional experience

Minimum Years of Experience

Years of experience required will correlate with internal job level requirements for the position

Location

San Francisco, CA (hybrid)

Location-Based Hybrid Policy

Expected to be in one of the offices at least 25% of the time
Some roles may require more time in the office

Visa Sponsorship

Visa sponsorship available
If an offer is made, every reasonable effort will be made to support visa needs, with an immigration lawyer retained to help

Safety and Recruiting Communications

Anthropic recruiters only contact candidates from @anthropic.com email addresses
Some cases may include vetted recruiting agencies that identify themselves as working on behalf of Anthropic
Legitimate Anthropic recruiters will never ask for money, fees, or banking information before the first day
If unsure about a communication, avoid clicking links and visit anthropic.com/careers for confirmed openings

Job Details

Salary: USD 280,000 - 320,000 per year
Education: Bachelor’s degree or equivalent combination of education, training, and/or experience

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Mcp Servers Data Jobs

Data Analyst, People Analytics

Applied AI Engineer, Beneficial Deployments (Life Sciences)

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