Logistic Operations Research & Systems Analyst
Booz Allen Hamilton, Virginia, MN, United States
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. You’ll 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. You’ll document, develop program briefs and presentations, collaborate with stakeholders and participate in program meetings to improve program efficiency.
In this role, you’ll use 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‑learning 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.
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#
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
Projected compensation range: $69,300.00 to $158,000.00 (annualized USD). This posting will close within 90 days from the Posting Date.
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.
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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. You’ll 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. You’ll document, develop program briefs and presentations, collaborate with stakeholders and participate in program meetings to improve program efficiency.
In this role, you’ll use 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‑learning 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.
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#
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
Projected compensation range: $69,300.00 to $158,000.00 (annualized USD). This posting will close within 90 days from the Posting Date.
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.
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