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Operations Research Jobs in Minnesota (NOW HIRING)

Collaborate effectively with team members to support daily operations. * Navigate Microsoft Office ... Minimum of 1 year of experience in public record research, data entry, or administrative support.

With operations spanning multiple countries, our focus is on supporting sustainable supply chains ... The Role We are seeking an experienced Research Analyst to join a specialist market advisory team ...

R&D Technician

Winona, MN · On-site

$17.50 - $24/hr

The role includes raw material preparation, pilot line operation, and clean-up. Documentation of ... The R&D Technician is cross functional working with the molding department, testing lab ...

R&D Technician

Winona, MN · On-site

$17.50 - $24/hr

The R&D Technician is responsible for accurate set-up and execution of R&D trials and all ... The role includes raw material preparation, pilot line operation, and clean-up. Documentation of ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Implemented custom operations/modules in a deep learning framework * Imagination, ambition, and ...

Showing results 21-40

Operations Research information

See Minnesota salary details

$37.7K

$91.9K

$147.9K

How much do operations research jobs pay per year?

As of Aug 7, 2026, the average yearly pay for operations research in Minnesota is $91,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $113,100.00 per year, depending on experience, location, and employer.

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 quantitative analysis, mathematical modeling, and problem-solving skills, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages (such as Python or R), advanced Excel, and optimization software like CPLEX or Gurobi is often required. Outstanding communication, critical thinking, and teamwork abilities help translate complex data insights into actionable recommendations for stakeholders. These skills ensure effective analysis, informed decision-making, and successful implementation of solutions in complex organizational environments.

What can I do with an operations research degree?

An operations research degree prepares individuals for roles such as operations analyst, supply chain manager, or data analyst, focusing on optimizing processes and decision-making using mathematical modeling and analytical tools. Graduates often work in industries like manufacturing, logistics, finance, and consulting, utilizing skills in statistics, programming, and problem-solving. Certifications in project management or data analysis can enhance career prospects.

What does an operations researcher do?

An operations researcher analyzes complex systems and processes to improve efficiency and decision-making using mathematical models, statistics, and optimization techniques. They often work with data analysis tools and develop algorithms to solve problems in logistics, supply chain, manufacturing, and other operational areas.

What is operations research?

Operations research is a discipline that uses advanced analytical methods, such as mathematical modeling, statistics, and algorithms, to help organizations solve complex problems and make better decisions. Professionals in this field analyze data and systems to optimize processes, improve efficiency, and reduce costs. Operations research is applied in various industries, including logistics, manufacturing, healthcare, and finance, to support strategic planning and operational improvements.

What is the difference between Operations Research vs Data Analyst?

AspectOperations ResearchData Analyst
Required CredentialsBachelor's or master's in operations research, industrial engineering, or related fieldsBachelor's or master's in statistics, mathematics, or data science
Work EnvironmentAnalytical teams, consulting firms, manufacturing, logisticsBusiness, finance, marketing, technology sectors
Employer & Industry UsageSupply chain, transportation, manufacturing, governmentRetail, finance, healthcare, tech companies
Common Search & ComparisonOperations Research vs Data Analyst

Operations Research and Data Analysts both analyze data to improve decision-making, but Operations Research focuses on complex optimization and modeling for large systems, while Data Analysts interpret data trends for business insights. Their roles often overlap but serve different strategic purposes in organizations.

What are the qualifications to get a job in operations research?

The qualifications to get a job in operations research typically include a bachelor’s degree and strong technical and mathematical skills. Data science, statistics, applied math, and engineering are all good subjects to study in college. It is also useful to have a working knowledge of the specific industry in which you work, such as logistics and delivery, healthcare, or business. More complex positions often require advanced degrees. In addition to these formal qualifications, programming experience with R or other statistical software and strong analytical skills are essential.

Does operations research pay well?

Operations research analysts typically earn competitive salaries, with median wages above the national average for many industries. Salaries vary based on experience, education, and location, and professionals often work with data analysis, optimization tools, and statistical software. Advanced skills and certifications can lead to higher compensation.

What are some typical challenges faced by professionals in operations research, and how can they be addressed?

Operations Research professionals often encounter challenges such as working with incomplete or imperfect data, translating complex mathematical models into actionable business solutions, and communicating technical findings to non-technical stakeholders. Successfully addressing these challenges involves collaborating closely with subject matter experts, utilizing robust data validation techniques, and developing strong communication skills to clearly convey results and recommendations. Additionally, staying updated on the latest optimization tools and methodologies can help streamline problem-solving processes.
What are the most commonly searched types of Operations Research jobs in Minnesota? The most popular types of Operations Research jobs in Minnesota are:
What are popular job titles related to Operations Research jobs in Minnesota? For Operations Research jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Operations Research jobs in Minnesota look for? The top searched job categories for Operations Research jobs in Minnesota are:
What cities in Minnesota are hiring for Operations Research jobs? Cities in Minnesota with the most Operations Research job openings:
Infographic showing various Operations Research job openings in Minnesota as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $91,873 per year, or $44.2 per hour.

Private Capital Research Associate

Initio Capital

Minneapolis, MN • Remote

Full-time

Posted 14 days ago


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Private Capital Research Associate, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.