Operations Research Analyst, Lead
As an Operations Analyst, you’re passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for creative solutions. We need an experienced Research Analyst to help solve complex problems for our clients.
About the role
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’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.
Requirements
- 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
- Experience in Python or R
- Ability to analyze, report, and develop recommendations on data related to operational metrics
- Ability to collaborate with decision-makers about issues and solutions
- Secret clearance
- Bachelor’s degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a Quantitative field
Nice to 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
- Strong writing, research, and presentation skills
- Master’s degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a Quantitative field
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Benefits
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.
Pay
Salary 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 $86,800.00 to $198,000.00 (annualized USD).
Schedule
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.