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Operation Research Analyst Jobs (NOW HIRING)

ASRC Federal is seeking an Operations Research Analyst for anticipated openings in 2025. This is a pipeline requisition to collect resumes in preparation of future hiring . We proudly support the US ...

Operations Research Analyst

New York, NY · Remote

$107K - $127K/yr

THE ROLE As a Operations Research Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into ...

ASRC Federal is seeking an Operations Research Analyst for anticipated openings in 2025. This is a pipeline requisition to collect resumes in preparation of future hiring . We proudly support the US ...

We are seeking a skilled Operations Research Analyst to support Electronic Warfare (EW) operations. In this role, you will be responsible for researching open source and other information resources ...

Operations Research Analyst - Intermediate

WA · On-site

$106K - $126K/yr

DCS is searching for a performance-driven Operations Research Analyst to support US Army programs. A focus on either Analytical, Financial, logistics, engineering, technical support and/or management ...

Operations Research Analyst

Taylor, MI · On-site

$91K - $108K/yr

Vital Tech Solutions is seeking an analytical and technically skilled Operations Research Analyst to develop optimization models that enhance operational efficiency and business performance. The role ...

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Operation Research Analyst information

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$43.5K

$102.5K

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How much do operation research analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for operation research analyst in the United States is $102,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $116,500.00 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 a strong background in mathematics, statistics, and analytical problem-solving, typically supported by a bachelor's or master's degree in operations research, mathematics, engineering, or a related field. Proficiency with statistical analysis software (such as SAS, R, or Python), optimization tools, and advanced Excel functions is essential. Critical thinking, attention to detail, and effective communication are standout soft skills for interpreting data and conveying complex findings to stakeholders. These skills enable analysts to develop data-driven solutions that improve organizational efficiency and inform strategic decision-making.

Is operations research in high demand?

Operations Research Analysts are in high demand across industries such as manufacturing, logistics, and government, due to their skills in data analysis, optimization, and decision-making. Employment growth is expected to be faster than average, driven by the need for efficiency and cost reduction in organizations.

What are some common challenges Operation Research Analysts face when implementing their recommendations within organizations?

Operation Research Analysts often encounter challenges when translating analytical recommendations into actionable strategies. One key challenge is effectively communicating complex quantitative findings to non-technical stakeholders in a clear and persuasive manner. Additionally, resistance to change from teams accustomed to established processes can hinder implementation. Analysts must work collaboratively with cross-functional teams to ensure buy-in and may need to adjust recommendations to align with organizational constraints and real-world limitations.

How much do operations research analysts make in the US?

Operations research analysts in the US have a median annual salary of around $87,000, with salaries typically ranging from $60,000 to $125,000 depending on experience, education, and location. They often work in data analysis, modeling, and optimization using tools like statistical software and programming languages. Higher salaries are common in industries such as finance, government, and consulting.

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 gather and analyze data, develop mathematical models, and use statistical analysis to provide actionable insights. Their work can improve efficiency, reduce costs, and optimize processes in various industries such as logistics, healthcare, finance, and government. Operations Research Analysts often collaborate with managers and other stakeholders to implement solutions and monitor results.

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

AspectOperation Research AnalystData Analyst
Required CredentialsBachelor's degree in operations research, mathematics, or related field; often certifications in analyticsBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or Tableau
Work EnvironmentConsulting firms, government agencies, large corporations; focus on solving complex problemsBusiness, marketing, finance departments; focus on data interpretation and reporting
Employer & Industry UsageUsed in logistics, manufacturing, defense, and consultingCommon in retail, finance, healthcare, and marketing

Operation Research Analysts focus on developing models and strategies to optimize processes and solve complex problems, often working on large-scale projects. Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills and familiarity with data tools, OR Analysts typically handle more mathematical modeling and optimization tasks, whereas Data Analysts focus on data reporting and insights.

What degree do I need to be an Operations Research Analyst?

Operations Research Analysts typically need at least a bachelor's degree in operations research, industrial engineering, applied mathematics, statistics, or a related field. Many employers prefer candidates with a master's degree or higher for advanced roles, and proficiency in analytical tools like linear programming and simulation software is also beneficial.

What does an Operations Research Analyst do?

An Operations Research Analyst uses mathematical models, statistical analysis, and optimization techniques to solve complex problems related to business operations, logistics, and resource management. They analyze data to improve efficiency, reduce costs, and support decision-making, often using tools like spreadsheets, programming languages, and specialized software. The role typically requires strong analytical skills and knowledge of quantitative methods.
More about Operation Research Analyst jobs
What cities are hiring for Operation Research Analyst jobs? Cities with the most Operation Research Analyst job openings:
What states have the most Operation Research Analyst jobs? States with the most job openings for Operation Research Analyst jobs include:
What are popular job titles related to Operation Research Analyst jobs? For Operation Research Analyst jobs, the most frequently searched job titles are:
Infographic showing various Operation Research Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $102,462 per year, or $49.3 per hour.

Operations Research Analyst

Vital Tech Solutions

Taylor, MI • On-site

$80K - $88K/yr

Full-time

Posted 12 days ago


Job description

We are seeking an analytical and technically skilled Operations Research Analyst to develop optimization models that improve operational efficiency, resource utilization, and business performance. This role partners closely with cross-functional teams including Operations, Analytics, and Business Stakeholders to solve complex planning and optimization challenges using mathematical modeling and data-driven decision making.

Key Responsibilities
  • Design, develop, and maintain optimization models that improve operational efficiency while balancing business objectives and operational constraints.
  • Analyze large datasets to identify opportunities for process improvements and performance gains.
  • Collaborate with business partners to translate operational challenges into mathematical optimization problems.
  • Support internal users by explaining optimization results and providing guidance on model outputs.
  • Validate model performance and recommend continuous improvements based on changing business needs.
  • Assist with implementing optimization solutions into production environments.
  • Document methodologies, assumptions, and model logic for internal stakeholders.


Requirements
  • Bachelor's degree in a quantitative discipline such as Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Data Science, or a related field.
  • Strong understanding of optimization techniques, mathematical programming, and analytical modeling.
  • Experience with commercial or open-source optimization solvers.
  • Proficiency in Python for data analysis and model development.
  • Strong problem-solving and communication skills.
Preferred Qualifications
  • Experience developing optimization models for scheduling, routing, resource allocation, supply chain, manufacturing, or logistics applications.
  • Working knowledge of SQL and relational databases.
  • Experience working with large datasets using distributed computing technologies.
  • Familiarity with business intelligence and data visualization tools such as Tableau, Power BI, or similar platforms.
  • Experience deploying analytical models into production environments.
  • Ability to communicate complex analytical concepts to both technical and non-technical audiences.