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Operations Research Analyst Jobs in Silver Spring, MD

Booz Allen Hamilton

Operations Research Analyst

Washington, DC · On-site

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Operations Research Analyst The Opportunity: As an operations analyst, you're passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for a ...

Beyond SOF

Operations Research Analyst (ORSA)

Washington, DC · On-site

$111K - $131K/yr

Agency-wide strategic planning, strategy management and implementation, performance management and measurement analysis, operations research analysis, policy integration, and organizational ...

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Showing results 21-40

All JobsOperations Research Analyst JobsOperations Research Analyst Jobs in Silver Spring, MD

Operations Research Analyst information

See Silver Spring, MD salary details

$45K

$105.9K

$140.6K

How much do operations research analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for operations research analyst in Silver Spring, MD is $105,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $120,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an operations research analyst?

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.

How much do operations research analysts make?

Operations research analysts in New York City typically earn a median annual salary of around $85,000 to $100,000, depending on experience and industry. Salaries can vary based on factors such as education, certifications, and the complexity of projects handled, with some earning over $120,000 in senior roles.

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.

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Operations Research Analyst jobs near you
Infographic showing various Operations Research Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $105,922 per year, or $50.9 per hour.

Operations Research Analyst

AMERICAN SYSTEMS

Arlington, VA • On-site

$110K - $150K/yr

Full-time

Re-posted 23 days ago

Job description

AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training.


  • Support the modeling, simulation, and analysis of platforms, sensors, and weapons within OSD-approved scenarios (with a heavy focus on Navy ISR&T).
  • Use a host of simulation tools, MATLAB and statistical methods to analyze system-trade comparisons as well as demonstrate mission utility.
  • Develop system performance metrics that provide insights to Government customers and decision-makers.
  • Independently communicate with customers to develop requirements, set expectations, develop assumptions, and relay results
  • Build complex models of systems by independently determining appropriate levels of detail
  • Coordinate teams of multiple analysts developing models of tactical situations in which to study system tradespace and demonstrate mission utility
  • Prepare analytical product reports and will be frequently asked to brief technical material to Government leadership.
  • Work travel to quarterly working group meetings (within CONUS) is possible as well as additional training opportunities.
  • Guide Junior Analysts and lead teams to produce complex analyses
  • Analyze environmental data and impacts on real world platforms and sensors
  • Apply advanced statistical methods to improve effectiveness of system capability
  • Guide Concept of Operations development through analysis
  • Interface with Subject Matter Experts to establish model assumptions
  • Clearly communicate complex technical methods
  • Generate presentations communicating analysis methodology and results for audiences ranging from MORS conferences to Flag Officers
  • Apply machine learning and pattern recognition optimization techniques

  • Active TS/SSBI 
  • Five (5) + years of relevant experience.
  • A minimum of three (3) to five (5) years of ORSA or similar analysis experience.
  • Bachelor’s degree in operations research or related field with at least 24 semester hours in combination of operations research, mathematics, probability, statistics, mathematical logic, computer science, engineering (aerospace, electrical, mechanical, systems engineering, etc.) or in political science, intelligence, foreign or international relations, or national security studies.
  • Familiarity with campaign/mission-level modeling and simulation applications and techniques
  • Example Applications:  Naval Simulation System (NSS), AFSIM, STORM, EADSIM, STK
  • Experience with MATLAB, SAS JMP, Python or PERL
  • Knowledge and experience in test planning and design, execution, and evaluation.
  • Knowledge of parametric and non-parametric statistics, data reduction, data decomposition, data analysis techniques, development of measures of performance and evaluation, confidence intervals, computer analysis tools, and survey test and evaluation methods.
  • Demonstrated experience in conducting test design and planning, data collection, and data analysis functions, knowledge of test and evaluation processes and activities.
  • Emphasis on discrete event analysis, data collection, analysis of results and translating abstract elements into useful operational information.
  • Ability to convey information in a clear and concise manner via verbal presentations, producing written products, or otherwise informing senior stakeholders.

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