
Specializing in digital transformation and artificial intelligence.
Operations Research Analyst, Senior
必备技能
Python
SQL
Go
Machine Learning
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
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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
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TS/SCI clearance
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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
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Experience building dashboards in Power BI
-
Experience working within the DoD
-
Experience in experimentation or wargaming
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Knowledge of analytical languages and software such as SQL or SAS
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Possession of strong writing, research, and presentation skills
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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 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). 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.
Identity Statement
As part of the application process, 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.
Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
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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关于Booz Allen Hamilton

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
员工数
McLean
总部位置
$4.2B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
4.0
薪酬
2.5
企业文化
4.2
职业发展
2.8
管理层
3.5
68%
推荐率
优点
Supportive management
Good work-life balance
Flexible work arrangements
缺点
Low compensation
Limited growth opportunities
Long hours during peak periods
薪资范围
37个数据点
L2
L6
Mid/L4
Senior/L5
L3
L4
L5
L2 · Chief of Staff L2
0份报告
$79,560
年薪总额
基本工资
$31,824
股票
$39,780
奖金
$7,956
$55,692
$103,428
面试评价
3条评价
难度
3.0
/ 5
时长
21-35周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Team Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Problem Solving
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