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Operations Research Analyst

  • Beavercreek, OH, United States

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Job details

Posting language
English
Posted

Original job description

Title:

Operations Research Analyst At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.

Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.

Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.

Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.

Position Summary:

The Entry-Level Operations Research Analyst applies operations research methods and analytic techniques to support decision-making, data analysis, and policy development. The analyst works closely with senior team members to develop analytic products, evaluate complex problems, and deliver data-driven insights to customers and stakeholders.

Key Responsibilities:

Analysis

  • Apply foundational knowledge of 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 to conduct quantitative and qualitative analyses that inform decision‑making.
  • Contribute to studies that evaluate, improve, and validate decision‑analytic models, simulations, and methodologies.

Communication

  • Document analysis using analytic models, simulations, visualizations, or decision‑support tools.
  • Prepare clear, concise briefings, technical papers, and summary reports to communicate findings and recommendations.
  • Present analytic results, insights, and techniques to customers, project teams, and peers.

Innovation

  • Identify opportunities to enhance analytic methods and share creative, well‑supported solutions to complex problems.
  • Participate in brainstorming sessions and contribute new ideas that strengthen project outcomes.

Technical Expertise

  • Stay current on emerging analytic tools, modeling techniques, and domain‑relevant technologies.
  • Actively pursue professional development to deepen expertise in operations research, related disciplines, and domain knowledge.

Work Environment:

  • Location: Dayton, OH
  • Travel Requirements: Minimal
  • Working Hours: Standard

Qualifications:

Required:

  • 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

Desired:

  • 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

Ready to Make a Difference? If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.

KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

More about this job

Skills

  • Research
  • people@work
  • Decision making
  • Data analysis
  • Policy development
  • Communication skills
  • Industrial engineering
  • Scientific research methodology
  • Programming languages
  • Python
  • R
  • The MathWorks MATLAB
  • SAS
  • VBA
  • Oracle Java
  • Machine learning
  • C++

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