Operations Research Analyst, Senior
boozallenStafford, VAPosted 9 March 2026
Job Description
Operations Research Analyst, Senior
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. As a leader on our multi-disciplinary team of analysts and data scientists, you’ll lead teams to evaluate data assessment strategies and apply techniques, such as optimization, simulation, machine learning, statistical analysis, and multi-objective decision analysis to deliver solutions and inform senior Department of Defense (DoD) leadership decisions.
You won’t go at it alone, you’ll work with the team to conduct research, prepare graphs and charts, and analyze and interpret programmatic and cost data. Once documented, you’ll develop program briefs, documentation, and presentations to present results, collaborate with stakeholders, and participate in various program meetings to improve program efficiency and inform senior DoD leadership decisions.
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 and other principles and laws of scientific and economic disciplines.
Use your operations research knowledge to develop technologies and concepts that help transform and advance DoD's missions.
Join us. The world can’t wait.
You Have:
7 years of experience with data exploration, data cleaning, data analysis, data visualization, and data mining
7 years of experience with analytical methodologies, including statistics, data modeling, forecasting, and optimization
5 years of experience developing solutions for advanced analytics or wargaming
Experience translating technical findings into reports for leadership and non-technical stakeholders
Ability to analyze, report, and develop recommendations on data related to operational metrics
Ability to collaborate with decision-makers about issues and solutions
Ability to display intermediate to advanced proficiency in Python or R
TS/SCI clearance
Bachelor’s degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a Quantitative field
Nice If You Have:
Experience using ADVANA applications such as the External Data Loader (EDL), Databricks, Qlik, or Data Robot
Experience building dashboards in Power BI
Experience working within the DoD
Experience in experimentation or wargaming
Knowledge of analytical languages and software such as SQL or SAS
Possession of strong writing, research, and presentation skills
Master’s degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a related Quantitative field
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 lo ... (truncated, view full listing at source)
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