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Senior Operations Research Analyst Jobs in Michigan

* Conduct fundamental research and analysis on equities and other securities under consideration for ... Direct mentorship from senior investment professionals, with exposure to live portfolio decisions.

* Conduct fundamental research and analysis on equities and other securities under consideration for ... Direct mentorship from senior investment professionals, with exposure to live portfolio decisions.

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Showing results 1-20

Senior Operations Research Analyst information

See Michigan salary details

$44.5K

$97.1K

$102.4K

How much do senior operations research analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior operations research analyst in Michigan is $97,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $101,500.00 per year, depending on experience, location, and employer.

What is a senior operations research analyst?

Senior Operations Research Analysts are experienced professionals who use advanced mathematical and analytical methods to help organizations solve complex problems and make better decisions. They collect and analyze data, develop optimization models, and recommend solutions to improve efficiency, productivity, and profitability. Often, they work with cross-functional teams, present findings to stakeholders, and may supervise junior analysts. Their work is critical in industries such as logistics, finance, healthcare, and manufacturing, where data-driven decision-making is essential.

What are the key skills and qualifications needed to thrive as a senior operations research analyst?

To thrive as a Senior Operations Research Analyst, you need strong analytical skills, advanced mathematical and statistical knowledge, and a relevant degree such as in operations research, mathematics, or engineering. Familiarity with optimization software (like CPLEX, Gurobi), statistical tools (such as R or SAS), and experience with programming languages like Python are typically required, along with certifications such as Certified Analytics Professional (CAP) being advantageous. Excellent problem-solving, communication, and project management skills help analysts effectively convey complex solutions and collaborate across teams. These skills and qualifications are crucial for developing data-driven strategies that improve organizational efficiency and decision-making.

How does a senior operations research analyst typically collaborate with cross-functional teams to implement solutions?

Senior Operations Research Analysts often work closely with cross-functional teams—including IT professionals, data scientists, project managers, and business stakeholders—to design and implement data-driven solutions. They translate complex analytical findings into actionable recommendations and guide teams through model deployment and process changes. Regular communication and presentation skills are essential, as analysts must ensure that all team members understand the models’ assumptions, limitations, and benefits. This collaborative environment fosters innovation and ensures that proposed solutions align with organizational goals.

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

AspectSenior Operations Research AnalystOperations Research Analyst
Required CredentialsBachelor's or Master's in Operations Research, Mathematics, or related field; experience preferredBachelor's degree in Operations Research, Mathematics, or related field
Work EnvironmentAdvanced analytical teams, strategic planning, project leadershipData analysis, modeling, supporting decision-making
Employer & Industry UsageGovernment agencies, large corporations, consulting firmsSimilar industries, often entry to mid-level roles
Common Search & ComparisonOften compared for experience and responsibilitiesEntry-level to mid-level analysis roles

The main difference between a Senior Operations Research Analyst and an Operations Research Analyst lies in experience, responsibilities, and leadership. Senior analysts typically have more advanced skills, oversee projects, and provide strategic insights, whereas analysts focus on data analysis and modeling support. Both roles are vital in data-driven decision-making across industries.

Is a senior operations research analyst a good career?

A senior operations research analyst is a well-regarded role that involves applying mathematical models and analytical methods to solve complex organizational problems. It typically requires strong skills in statistics, programming, and data analysis, and offers opportunities for advancement and competitive salaries in various industries. The role is considered stable and in demand due to the increasing reliance on data-driven decision making.

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 cities in Michigan are hiring for Senior Operations Research Analyst jobs?

Cities in Michigan with the most Senior Operations Research Analyst job openings:

Infographic showing various Senior Operations Research Analyst job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $97,135 per year, or $46.7 per hour.

Operations Research Analyst

Defense Logistics Agency

Battle Creek, MI • On-site

$92K - $109K/yr

Full-time

Posted 5 days ago


Defense Logistics Agency rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

277th of 855 rated public administrative organizations


Job description

Telework Eligible

Yes

Major Duties

  • Designs, develops, and adapts mathematical, statistical, econometric, and other scientific methods and techniques to analyze management problems of a highly significant nature.
  • Conducts operations research and economic analysis studies and recommends areas of further study. Studies performed involve Key Performance Indicators, supply chain processes, and Agency policies crossing multiple process areas.
  • Performs studies which directly support strategic management decisions and planning, including inventory investment strategy, business policy, and Activity Performance Plans.
  • Applies scientific techniques with emphasis on mathematical disciplines to improve operations of the supply chain and DLA logistical systems.
  • Prepares study plans which define complex study efforts by providing the background, description, approach, project milestones, resource requirements, and expected business improvements for each major study.
  • Performs quantitative, cost/economic analyses, and operations research studies using innovative application techniques like mathematical modeling, statistical analysis, linear/nonlinear programming, simulation, decision and probability theory.
  • Serves as an expert consultant and study leader for study groups in the general area of mathematical modeling, economic analysis, statistics, simulation, optimization programming, probability theory, or other quantitative methods.

Qualification Summary

To qualify for an Operations Research Analyst, your resume and supporting documentation must support: A. Basic Education Requirement: A Bachelor's Degree or higher in operations research OR at least 24 hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. NOTE: Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Mastery of research techniques to conduct and lead professional and highly technical work involved in the performance of operations research studies in support of related process area(s) and supply chains. Performing complex studies spanning all BSM processes, specifically Financial Management, Order Fulfillment, Planning, Procurement, and Technical/Quality. Conducting, organizing, leading, directing, and coordinating quantitative and qualitative studies and analyses which are highly technical in nature. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.


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