Operations Research Analysts
Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, service, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.
How AI Impacts Each Task
17 tasks analyzed
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
Present the results of mathematical modeling and data analysis to management or other end users.
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
Analyze information obtained from management to conceptualize and define operational problems.
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
Define data requirements and gather and validate information, applying judgment and statistical tests.
Prepare management reports defining and evaluating problems and recommending solutions.
Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources.
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
Educate staff in the use of mathematical models.
Specify manipulative or computational methods to be applied to models.
Develop and apply time and cost networks to plan, control, and review large projects.
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.
Review research literature.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters. | 60.82Observed | 51.3% | 12% | |
| Perform validation and testing of models to ensure adequacy and reformulate models as necessary. | 60Estimated | 51.0% | 10% | |
| Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives. | 63.7Observed | 40.5% | 9% | |
| Present the results of mathematical modeling and data analysis to management or other end users. | 40Estimated | 31.0% | 6% | |
| Collaborate with others in the organization to ensure successful implementation of chosen problem solutions. | 54.8Observed | 36.9% | 6% | |
| Analyze information obtained from management to conceptualize and define operational problems. | 52.28Observed | 47.9% | 8% | |
| Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. | 63.52Observed | 52.4% | 8% | |
| Define data requirements and gather and validate information, applying judgment and statistical tests. | 34.95Observed | 41.0% | 7% | |
| Prepare management reports defining and evaluating problems and recommending solutions. | 57.2Observed | 49.9% | 6% | |
| Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources. | 35Estimated | 41.0% | 5% | |
| Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them. | 63.52Observed | 52.4% | 5% | |
| Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data. | 40Estimated | 43.0% | 4% | |
| Educate staff in the use of mathematical models. | 35Estimated | 29.0% | 3% | |
| Specify manipulative or computational methods to be applied to models. | 65Estimated | 53.0% | 4% | |
| Develop and apply time and cost networks to plan, control, and review large projects. | 60Estimated | 51.0% | 3% | |
| Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules. | 64.72Observed | 52.9% | 2% | |
| Review research literature. | 80Estimated | 59.0% | 2% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
Service Orientation is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Recommended Courses
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Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
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Score History
Risk score over 3 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Education Level
Prior Experience Needed
Work experience required to enter this job
Training Provided After Hiring
How long it typically takes to learn on the job
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Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis