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Operations Research Analyst Jobs in Michigan (NOW HIRING)

Technomics is a growing employee-owned, decision analytics company that specializes in cost and ... operations research, statistics or business) or a discipline that fosters problem solving ...

Technomics is a growing employee-owned, decision analytics company that specializes in cost and ... Bachelor's degree in a quantitative discipline (e.g., engineering, mathematics, operations research ...

Technomics is a growing employee-owned, decision analytics company that specializes in cost and ... Bachelor's degree in a quantitative discipline (e.g., engineering, mathematics, operations research ...

Technomics is a growing employee-owned, decision analytics company that specializes in cost and ... operations research, statistics or business) or a discipline that fosters problem solving ...

The Role We are seeking an analytical, detail-oriented, and collaborative Operations Analyst to drive technical assistance, system improvements, and program support for our operations team. Reporting ...

... operational research. You will collaborate with cross-functional teams to assess business needs, design solutions, and implement improvements that enhance performance and profitability. Key ...

... operational research. You will collaborate with cross-functional teams to assess business needs, design solutions, and implement improvements that enhance performance and profitability. Key ...

... operations, positioning GM Financial as a leader in digital innovation within a dynamic industry ... Lead in the production of research and analysis to quantify the impact of internal and external ...

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Operations Research Analyst information

See Michigan salary details

$37.9K

$89.3K

$118.5K

How much do operations research analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for operations research analyst in Michigan is $89,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $101,500.00 per year, depending on experience, location, and employer.

What are Operations Research Analysts?

Operations Research Analysts are professionals who use advanced mathematical and analytical methods to help organizations solve problems and make better decisions. They analyze complex systems, gather data, and develop models to improve processes, increase efficiency, and reduce costs. Their work is essential in industries such as manufacturing, logistics, healthcare, finance, and government. By leveraging techniques like statistical analysis, optimization, and simulation, Operations Research Analysts provide actionable insights to support strategic and operational planning.

Is operation research a good career?

Operations Research Analysts apply mathematical modeling and analytical methods to help organizations solve complex problems and improve decision-making. The field offers strong job growth, competitive salaries, and opportunities across industries such as logistics, healthcare, and finance. Success typically requires skills in statistics, programming, and problem-solving, often supported by a relevant degree or certification.

What are the key skills and qualifications needed to thrive as an Operations Research Analyst, and why are they important?

To thrive as an Operations Research Analyst, you need strong analytical, mathematical, and problem-solving skills, typically supported by a degree in operations research, mathematics, engineering, or a related field. Proficiency with statistical analysis software, optimization tools like CPLEX or Gurobi, and programming languages such as Python or R is commonly required. Effective communication, critical thinking, and collaboration skills help translate complex data into actionable recommendations for stakeholders. These abilities are crucial for delivering data-driven solutions that improve organizational efficiency and decision-making.

What are some common challenges Operations Research Analysts face when translating analytical findings into actionable business strategies?

Operations Research Analysts often encounter challenges in communicating complex quantitative findings to stakeholders who may not have technical backgrounds. Bridging the gap between advanced mathematical models and practical business decisions requires strong communication skills and a deep understanding of the organization's objectives. Additionally, analysts may face resistance to change when proposing new, data-driven strategies, so being able to justify recommendations with clear, accessible insights is crucial. Collaborating closely with cross-functional teams helps ensure solutions are both technically sound and aligned with operational realities.

What is the difference between Operations Research Analyst vs Data Analyst?

AspectOperations Research AnalystData Analyst
Required CredentialsBachelor's degree in operations research, mathematics, or related field; often certifications in analytics or optimizationBachelor's degree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentCorporate, government, or consulting firms focusing on optimization and decision-makingBusiness, marketing, finance, or healthcare sectors analyzing data trends
Employer & Industry UsageOrganizations seeking to improve operational efficiency and decision processesCompanies aiming to interpret data for strategic insights and reporting

Operations Research Analysts focus on optimizing complex systems and decision-making processes using mathematical models, while Data Analysts interpret data to identify trends and support business decisions. Both roles require analytical skills and often similar educational backgrounds, but their core functions differ in scope and application.

How much do operations research analysts make in the US?

Operations research analysts in the US earn a median annual salary of around $85,000, with salaries typically ranging from $60,000 to $120,000 depending on experience, education, and location. They often use analytical tools and mathematical modeling to improve organizational efficiency and decision-making.

What Is an Operations Research Analyst?

An operations research analyst works with a company to analyze relevant data to improve business operations. Their primary duties involve setting goals, identifying potential problems, gathering pertinent information, and then using a variety of analytical methods to come up with solutions. The job requires strong analytical skills as well as the ability to think critically. Additional qualifications include a minimum of a bachelor’s degree in operations research or management science, although many employers prefer a master’s degree. Those interested in a career as an operations research analyst must have research experience in an office setting.

What do operations research analysts do?

Operations research analysts use mathematical models, statistical analysis, and optimization techniques to solve complex problems related to logistics, resource allocation, and process efficiency. They analyze data to improve decision-making and often work with specialized software tools. Strong analytical skills and knowledge of programming or modeling languages are essential for this role.

Is a research analyst a good career?

Operations Research Analysts analyze data and develop models to improve decision-making and efficiency in organizations. The role typically requires strong analytical skills, proficiency with software tools like Excel or specialized modeling programs, and often a relevant degree such as operations research, mathematics, or engineering. It is considered a stable career with opportunities for advancement in various industries such as logistics, healthcare, and finance.
What are the most commonly searched types of Operations Research Analyst jobs in Michigan? The most popular types of Operations Research Analyst jobs in Michigan are:
What job categories do people searching Operations Research Analyst jobs in Michigan look for? The top searched job categories for Operations Research Analyst jobs in Michigan are:
What cities in Michigan are hiring for Operations Research Analyst jobs? Cities in Michigan with the most Operations Research Analyst job openings:
What are popular job titles related to Operations Research Analyst jobs in MI? For Operations Research Analyst jobs in MI, the most frequently searched job titles are:
Infographic showing various Operations Research Analyst job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,305 per year, or $42.9 per hour.
Data Science Analyst / Data Scientist

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI • On-site

Contractor

Posted 26 days ago


Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.