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Booz Allen Hamilton

Data Analyst

Booz Allen Hamilton

Springfield, VA

·

On-site

·

Full-time

·

2w ago

Compensation

$77,600 - $176,000

Benefits & Perks

Healthcare

Life Insurance

Disability

401(k)

Paid Leave

Learning Budget

Tuition Assistance

Dependent Care

Healthcare

401k

Learning

Required Skills

Data Analysis

SQL

Python

Tableau

Power BI

R

Data Analyst

The Opportunity:

We a seeking a mission-focused Technical Data Analyst to support critical United States Navy operations. This is not a traditional analyst role where you simply receive clean datasets. You will own the last mile of data delivery—acting as part Data Engineer and part Data Visualization Expert.

You will be responsible for building efficient ETL pipelines, querying complex naval data warehouses, and transforming raw metrics into actionable intelligence via high-impact dashboards such as Tableau, Power BI, or Qlik. You will translate technical data into strategic insights for Commanders and key decision-makers.

What You'll Work On:

  • Design and maintain SQL-based ETL processes to ingest, clean, and transform large datasets from disparate Navy legacy systems.

  • Write complex SQL queries and stored procedures to extract data from Oracle or SQL server databases.

  • Utilize scripting languages, such as Python or R to automate data workflows and perform advanced data wrangling.

  • Ensure data integrity and quality assurance (QA) prior to visualization.

  • Develop interactive, dynamic dashboards using Tableau, Power BI, or Qlikto track readiness, logistics, maintenance, or operational metrics.

  • Create executive-level visualizations that simplify complex datasets for non-technical leadership.

  • Optimize dashboard performance for low-bandwidth environments where necessary.

  • Conduct exploratory data analysis to identify trends, anomalies, and opportunities for cost reduction or process improvement.

  • Collaborate with Navy stakeholders to define KPIs and requirements for reporting tools.

  • Document data dictionaries, schemas, and logic to maintain knowledge continuity.

Work with us to 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 analysis in a professional work environment

  • Experience in Tableau or Power BI

  • Experience with Python, including Pandas or Num Py, or R for data manipulation

  • Knowledge of SQL, including joins, window functions, or stored procedures

  • Secret clearance

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or Mathematics

Nice If You Have:

  • Knowledge of Navy enterprise systems, such as DECKPLATE, OIMA, NDE, or ERP systems

  • Top Secret clearance

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.

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 $77,600.00 to $176,000.00 (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

Specializing 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