What do they do?

Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decisionmaking, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, services, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.

Also known as:

Advanced Analytics Associate, Analytical Strategist, Decision Analyst, Operations Research Analyst, Optimization Analyst

Typical Wages

Projected Growth Rate

Employment of Operations Research Analysts is projected to grow 4 percent from 2022 to 2032, more slowly than average compared to all occupations.

Projected Employment in OH

No Data Available
  • 4.1%

    Change

    Ranks #49 in job growth rate
    320

    Job Openings

    Ranks #13 in net job growth

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Education Level

Percent of workers in this field with these degrees:

  • Bachelor's degree  (40%)
  • Master's degree  (29%)
  • Some college, no degree  (13%)
  • Associate's degree  (7%)
  • High school diploma equivalent  (6%)
  • Doctorate or Professional Degree  (4%)
  • Less than high school diploma  (1%)

Typical College Majors

Most Popular Majors that prepare Operations Research Analysts

Select Type of Degree:

  • #1
    • Degrees Granted

      16,913
    • Female Students

      6,925
    • Male Students

      9,988
    • Median Starting Salary

      $57,200

People in this career often have these skills:

  • Mathematics - Using mathematics to solve problems.
  • Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
  • Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
  • Reading Comprehension - Understanding written sentences and paragraphs in work-related documents.
  • Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • Writing - Communicating effectively in writing as appropriate for the needs of the audience.
  • Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one.
  • Systems Evaluation - Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
  • Speaking - Talking to others to convey information effectively.
  • Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making.
  • Systems Analysis - Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
  • Operations Analysis - Analyzing needs and product requirements to create a design.

People in this career often know a lot about:

  • Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
  • English Language - Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.
  • Computers and Electronics - Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
  • Engineering and Technology - Knowledge of the practical application of engineering science and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of various goods and services.

People in this career often have talent in:

  • Mathematical Reasoning - The ability to choose the right mathematical methods or formulas to solve a problem.
  • Written Comprehension - The ability to read and understand information and ideas presented in writing.
  • Inductive Reasoning - The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
  • Number Facility - The ability to add, subtract, multiply, or divide quickly and correctly.
  • Oral Expression - The ability to communicate information and ideas in speaking so others will understand.
  • Deductive Reasoning - The ability to apply general rules to specific problems to produce answers that make sense.
  • Oral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentences.
  • Written Expression - The ability to communicate information and ideas in writing so others will understand.
  • Information Ordering - The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations).
  • Fluency of Ideas - The ability to come up with a number of ideas about a topic (the number of ideas is important, not their quality, correctness, or creativity).
  • Originality - The ability to come up with unusual or clever ideas about a given topic or situation, or to develop creative ways to solve a problem.
  • Problem Sensitivity - The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing that there is a problem.
  • Near Vision - The ability to see details at close range (within a few feet of the observer).
  • Category Flexibility - The ability to generate or use different sets of rules for combining or grouping things in different ways.
  • Speech Clarity - The ability to speak clearly so others can understand you.

People in this career often do these activities:

  • Develop scientific or mathematical models.
  • Collaborate with others to resolve information technology issues.
  • Present research results to others.
  • Analyze data to identify or resolve operational problems.
  • Analyze project data to determine specifications or requirements.
  • Document operational activities.
  • Evaluate data quality.
  • Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
  • Determine appropriate methods for data analysis.
  • Conduct research to gain information about products or processes.
  • Troubleshoot issues with computer applications or systems.
  • Analyze data to identify trends or relationships among variables.
  • Design computer modeling or simulation programs.
  • Train others on work processes.
  • Develop detailed project plans.
  • Manage budgets for appropriate resource allocation.
  • Apply information technology to solve business or other applied problems.

This page includes data from:

O*NET OnLine Career data: O*NET 28.3 Database by the U.S. Department of Labor, Employment and Training Administration (“USDOL/ETA”). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA

U.S. Bureau of Labor Statistics Logo Occupation statistics: USDOL U.S. Bureau of Labor Statistics Occupational Employment Statistics

careeronestop logo Videos: CareerOneStop, USDOL/ETA and the Minnesota Department of Employment & Economic Development

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