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Night Shift Lab Data Analyst Jobs in Seattle, WA

Microsoft

Data Analyst, People Analytics

Redmond, WA · On-site

$113K - $187K/yr

... data answers in the hands of the whole HR community. Our thesis is simple: AI handles the breadth ... shift in a fast-moving, still-forming space. * Stay embedded with analysts: learn where the tools ...

Apex Systems

RF Test Engineer (Night Shift)

Redmond, WA · On-site

$250/hr

... lab environment. Key Responsibilities * Execute and support RF validation testing across ... Analyze logs and test data to troubleshoot issues and identify root cause trends * Build automated ...

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As of Sep 8, 2026, the average hourly pay for night shift lab data analyst in Seattle, WA is $31.28, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $37.21 per hour, depending on experience, location, and employer.

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Night Shift Lab Data Analyst jobs near you
Infographic showing various Night Shift Lab Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 100% In-person job distribution, with an average salary of $65,056 per year, or $31.3 per hour.

Data Analyst, People Analytics

Microsoft

Redmond, WA • On-site

$113K - $187K/yr

Full-time

Posted 19 days ago

Key responsibilities

  • Build and extend the people-analytics MCP server by adding datasets, improving answer quality, and reducing response times.

  • Diagnose and fix bugs in AI tools, and perform rigorous testing before deployment.

  • Partner with the team to build and test GitHub Copilot skills that encode analytical methods.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

69th of 247 rated software companies

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.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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