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Operations Research Analyst Jobs in Rochester, MI

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Operations Research Analyst information

See Rochester, MI salary details

$40K

$94.3K

$125.2K

How much do operations research analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for operations research analyst in Rochester, MI is $94,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $107,200.00 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.

Will AI replace research analysts?

AI can automate certain tasks performed by operations research analysts, such as data analysis and modeling, but it is unlikely to fully replace the role. Analysts' skills in interpreting complex data, making strategic decisions, and applying domain knowledge remain essential, with AI serving as a tool to enhance productivity and accuracy.

Is operation research a good career?

Operations Research Analysts analyze complex systems and optimize processes using mathematical modeling and data analysis. The field offers strong job growth, competitive salaries, and opportunities across industries such as logistics, manufacturing, and government, often requiring skills in programming, statistics, and problem-solving.

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.

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, develop solutions, and support decision-making in various industries, often using software tools like spreadsheets and specialized modeling programs. Strong analytical skills and knowledge of operations management are essential for this role.

Is a research analyst a high paying job?

Operations Research Analysts typically earn above-average salaries compared to many other roles, with median pay often exceeding $80,000 annually in the United States. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and optimization tools can lead to higher compensation.
More about Operations Research Analyst jobs
What job categories do people searching Operations Research Analyst jobs in Rochester, MI look for? The top searched job categories for Operations Research Analyst jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Operations Research Analyst jobs? Cities near Rochester, MI with the most Operations Research Analyst job openings:
Operations Research Analyst jobs near you
Infographic showing various Operations Research Analyst job openings in Rochester, MI 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 $94,311 per year, or $45.3 per hour.
Remote Equity Research Analyst - AI Trainer ($50-$60 per hour)

Remote Equity Research Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Royal Oak, MI • Remote

$50 - $60/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.


We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.


We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

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