Operations Research Analyst

KBR•Beavercreek, OH

About The Position

The Entry-Level Operations Research Analyst applies operations research methods and analytic techniques to support decision-making, data analysis, and policy development. Working closely with senior team members, the analyst develops analytic products, evaluates complex problems, and delivers data-driven insights to customers and stakeholders. The role is located in Dayton, Ohio, with minimal travel and standard working hours. The analyst applies quantitative and qualitative methods to project objectives, contributes to the evaluation and validation of models and simulations, and communicates findings through reports, briefings, technical papers, visualizations, and decision-support tools. The position also involves identifying ways to improve analytic methods, keeping current with relevant tools and technologies, and pursuing professional development. KBR Mission Technology Solutions is planned to spin off as the independent company Trinzic, expected in January 2027. Employees joining the business before the spin-off will transition to Trinzic when the separation is complete without needing to reapply.

Requirements

BA/BS degree in operations research, mathematics, industrial engineering, data science, or a related quantitative field.
Demonstrated application of analytic, modeling, statistical, or scientific methods through coursework, research, internships, or projects.
Experience with one or more analytic or statistical tools, modeling environments, or programming languages, such as Python, R, MATLAB, SAS, VBA, Java, AFSIM, Gurobi, or JMP.
Ability to analyze complex problems and develop data-driven recommendations.
Strong written and verbal communication skills.
Ability to quickly learn customer missions, systems, and operational environments.
Ability to obtain and maintain a DoD Top Secret security clearance.

Nice To Haves

Advanced coursework, undergraduate research experience, or an MS degree in operations research, mathematics, industrial engineering, data science, or a related field.
Experience applying optimization, simulation, data analysis, machine learning, decision analysis, or related quantitative methodologies through coursework, research, or projects.
Experience designing or developing analytic models using Python, R, and/or C++.
Proficiency with multiple analytic tools, modeling environments, and programming languages.
Active DoD Top Secret security clearance.

Responsibilities

Apply foundational operations research, mathematics, and analytic techniques to support project objectives.
Work with project leads to clarify analytic goals and develop task plans aligned with management priorities.
Collaborate with team members on quantitative and qualitative analyses that inform decision-making.
Contribute to studies evaluating, improving, and validating decision-analytic models, simulations, and methodologies.
Document analyses using analytic models, simulations, visualizations, or decision-support tools.
Prepare briefings, technical papers, and summary reports communicating findings and recommendations.
Present analytic results, insights, and techniques to customers, project teams, and peers.
Identify opportunities to enhance analytic methods and share creative, well-supported solutions to complex problems.
Participate in brainstorming and contribute ideas that strengthen project outcomes.
Stay current on emerging analytic tools, modeling techniques, and domain-relevant technologies.
Pursue professional development in operations research, related disciplines, and domain knowledge.