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-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:

• 5+ years of experience supporting DoD
• Experience with military logistics operations
• Ability to identify, clean, and analyze datasets
• Ability to assist with the design, implementation, and validation of novel algorithms and models
• 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 quantitative methods, including multivariate statistics, machine learning, network analysis, or computational modeling
• Experience with programming languages, including Python, R, Matlab, or C#
• 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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
Our people-first culture prioritizes the benefits of 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: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as 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 by the role.