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Mathematical Analyst Jobs (NOW HIRING)

Microsoft

Data Analyst, People Analytics

Redmond, WA · On-site

$113K - $187K/yr

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 ...

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U.S. Department of Defense (DOD)

$63K/yr

... analytical and technical projects. KNOWLEDGE, SKILLS AND ABILITIES ( KSAs ): 1. Knowledge or ... Skill in broad areas of classical and modern higher mathematics to originate and develop ...

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Mathematical Analyst information

What is a mathematical analyst?

A Mathematical Analyst applies mathematical techniques to solve complex problems, analyze data, and develop models for business, finance, science, and engineering. They use statistical methods, algorithms, and computational tools to interpret results and provide insights. Their work helps organizations make data-driven decisions, optimize processes, and improve efficiency. Mathematical Analysts often collaborate with other professionals, including data scientists, economists, and engineers, to create solutions for real-world challenges.

What are some typical daily responsibilities of a mathematical analyst?

As a Mathematical Analyst, your daily responsibilities often include collecting and interpreting complex data sets, developing mathematical models to solve business or operational problems, and preparing reports or presentations to communicate your findings. You may work closely with data scientists, financial analysts, or engineers to integrate your analyses into larger projects. Regular tasks also involve using statistical software, validating model accuracy, and refining methods based on real-world feedback or new data. This variety ensures you play a critical role in decision-making processes and contribute measurable value to your organization.

What are the key skills and qualifications needed to thrive in the mathematical analyst position, and why are they important?

To thrive as a Mathematical Analyst, you need a strong background in advanced mathematics, statistical analysis, and quantitative modeling, typically supported by a relevant degree such as mathematics, statistics, or applied mathematics. Proficiency with software tools like MATLAB, R, Python, and data visualization platforms is often required, and certifications in data analysis or financial modeling can be advantageous. Exceptional problem-solving abilities, attention to detail, and strong communication skills help set top candidates apart in this field. These competencies are vital for accurately interpreting complex data, delivering insightful recommendations, and effectively collaborating with cross-functional teams.

What do mathematical analysts do?

Mathematical analysts apply advanced mathematical techniques to analyze data, develop models, and solve complex problems across various industries. They often use statistical software, programming languages, and mathematical theories to support decision-making and optimize processes.
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Mathematical Analyst jobs near you
Infographic showing various Mathematical Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution.

Data Analyst, People Analytics

Microsoft

Redmond, WA • On-site

$113K - $187K/yr

Full-time

Posted 2 days ago

New

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

80th of 246 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

Social media

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