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Benefits & Perks
•Healthcare
•Life Insurance
•Disability Insurance
•401(k)
•Paid Leave
•Professional Development
•Tuition Assistance
•Dependent Care
•Healthcare
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•Learning
Required Skills
Power BI
Data Analysis
Data Visualization
SQL
Statistics
Power BI Data Analyst:
The Opportunity:
As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data analyst like you to bring your knowledge to support our law enforcement and criminal justice community.
As a client-facing data analyst on our law enforcement team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on keeping our nation safe and secure.
How You’ll Contribute:
As a data analyst on our team, you’ll:
- Use your technical knowledge and analytical mindset to support client and stakeholder relationships.
- Research, develop, and test data methodologies, and generate cross-functional solutions through analysis of large data sets.
- Contribute to impactful work and guide decision-making across multiple organizations.
- Apply data visualization skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
- Present data findings and recommendations to clients and stakeholders using your knowledge of databases and scripting tools such as Power BI and Microsoft Office Suite.
- Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
- Apply data visualization, including Power BI, through different formats such as graphs, tables, and PowerPoint slides.
- Grow your communication and technical skills by creating data-centric solutions across the federal criminal justice landscape.
Work with us to help drive large-scale business and process decisions through data insights.
Join us. The world can’t wait.
You Have:
- 3 years of experience with data analytic or visualization tools to design and build formulas, charts, links, and pivot tables
- 2 years of experience with law enforcement or drug data
- 2 years of experience manipulating unstructured data from different platforms
- 2 years of experience in IT, statistics, computer information systems, auditing, investigations, mathematics, and units of measure
- Experience with Power BI
- Public Trust
- Bachelor’s degree
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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 $62,000.00 to $141,000.00 (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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About Booz Allen Hamilton

Booz Allen Hamilton
PublicSpecializing in digital transformation and artificial intelligence.
10,001+
Employees
McLean
Headquarters
Reviews
3.5
5 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.8
Career
2.5
Management
2.0
35%
Recommend to a Friend
Pros
Great reputation in federal sector
Hybrid work options available
Established teams and processes
Cons
Poor hiring and recruitment process
Job security concerns with contract-based work
Work-life balance issues
Salary Ranges
34 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1 reports
$149,500
total / year
Base
$115,000
Stock
-
Bonus
-
$149,500
$149,500
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
21-35 weeks
Offer Rate
43%
Experience
Positive 29%
Neutral 28%
Negative 43%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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