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Operations Research Optimization Jobs in Albuquerque, NM

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Operations Research Optimization information

What is the difference between Operations Research Optimization vs Data Analyst?

AspectOperations Research OptimizationData Analyst
Required CredentialsDegree in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsDegree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentAnalytical teams in manufacturing, logistics, or consulting firmsBusiness or corporate settings, focusing on data interpretation and reporting
Industry UsageSupply chain, transportation, manufacturing, logisticsFinance, marketing, healthcare, retail
Common Search/ComparisonOperations Research Optimization vs Data Analyst

Operations Research Optimization focuses on developing mathematical models to improve decision-making processes, often in logistics and manufacturing. Data Analysts interpret and visualize data to support business decisions. While both roles analyze data, Operations Research Optimization emphasizes optimization techniques and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

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Infographic showing various Operations Research Optimization job openings in Albuquerque, NM as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr. Operations Research Analyst

Kirtland Air Force Base, NM

Abacus Technology
501 - 1,000 employees

$95K - $112K/yr

Full-time

Re-posted 9 days ago


Job description

Abacus Technology is seeking an Operations Research Analyst to provide support for the Technical Advisory and Assistance Services (TAAS) program at Kirtland AFB.  This is a full-time position.


  • 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.
  • Identify and track WS’s, including constituent systems, risks, issues, and opportunities.
  • Implement Operations Research (OR) techniques for consistent, predictive analysis of data to identify WS risks, issues, and opportunities.
  • Utilize and/or tailor identified risks for implementation into the WS Worthiness Assessment (WWA) process.
  • Aggregate and document the results of RIO analysis for presentation to AFNWC/NC leadership for situational awareness and to support decision-making.
  • Support WS lead Command, and program offices as directed.

10+ years experience in operations research, systems analysis, or management sciences.  Bachelor’s degree in Operations Research, Math, Science, Engineering, or a related field requiring significant mathematics and/or statistics.  Capable of working with the technical or engineering teams to ensure proper support.  Able to 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.  Experience collecting and analyzing data and develop decision support software, services, or products.   Must be detail oriented and have excellent problem-solving and analytical abilities.  Must have strong communications skills and the ability to work professionally with all levels of an organization.  Must be a US citizen and hold an active Top Secret clearance with SCI Access (TS/SCI).

Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.

EOE/M/F/Vet/Disabled