Logistic Operations Research & Systems 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 creative solution. We need an experienced research analyst like you to help us solve complex problems for our clients. On our logistics modeling and simulation team, you’ll evaluate data assessment strategies such as sampling, statistical analysis, evaluation, and network analysis to deliver solutions. You won’t go at it alone; you’ll work alongside data scientists and logistics subject matter experts to conduct research, analyze, and interpret modeling results such as life cycle cost models and estimates, cost and benefit analyses, and what‑if analyses. Once documented, you’ll develop program briefs and presentations to present results, collaborate with stakeholders, and participate in various program meetings to improve program efficiency. In this role, you’ll use your passion for analytics and statistics to devise modeling and measuring techniques utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques such as linear programming, game theory, established statistical and machine‑learn techniques, network analysis, discrete event simulations, and laws of scientific and economic disciplines. Use your operations research knowledge to develop technologies and concepts that advance logistics modeling and simulation. Responsibilities Develop and implement quantitative methods, including multivariate statistics, machine learning, network analysis, or computational modeling to address complex logistics problems. Write program briefs and presentations for stakeholders, and participate in program meetings to assess and improve program efficiency. You Have Experience with quantitative methods, including multivariate statistics, machine learning, network analysis, or computational modeling Experience with programming languages, including Python, R, Matlab, or C# Knowledge of creating and implementing Design of Experiments for large‑scale simulations consisting of complex solution spaces or multiple scenarios Ability to identify, clean, and analyze datasets Ability to assist with the design, implementation, and validation of novel algorithms and models Ability to create interfaces, visualizations, and documentation to transform algorithms into user‑facing software and analytic tools Ability to work with clients to understand their requirements and present potential solutions Ability to write professionally and brief clients on technical details and their analytic implications TS/SCI clearance Bachelor's degree Nice If You Have Experience creating and implementing logistics network models Experience with military logistics operations Experience working in the Defense or Intelligence community Knowledge of defense and intelligence data sources or analytic tools Knowledge of social science, including psychology, economics, sociology, or political science Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation Our compensation package is determined by location, education, skills, experience, and contract‑specific requirements. The projected annualized salary range for this position is $69,300.00 to $158,000.00 (USD). The posting will close within 90 days from the posting date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. The use of artificial intelligence or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : This position may require occasional on‑site work at a Booz Allen or customer facility. Hybrid : Employees may be required to work from a Booz Allen facility frequently, as well as from or visit a customer facility. Onsite : Work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr Booz Allen Hamilton