Data Analyst

Booz Allen Hamilton • Pensacola, FL

438d • $60,400 - $137,000

About The Position

As a Data Analyst at Booz Allen Hamilton, you will leverage your analytical skills to transform complex data sets into actionable insights that support Navy strategic goals and national security. This client-facing role involves collaborating with clients to understand their data needs, conducting thorough analyses, and presenting findings that drive decision-making and deliver high business value products.

Requirements

• 6+ years of experience in business analysis, data standardization, data analysis, statistical analysis, problem solving, content management, and software/network programming.
• Experience in data management, data governance, data quality, test data management, data architecture, data security, and programming (SQL, Java, Python, or R).
• Knowledge of database query language (SQL) and report creation/data visualization (Tableau, R Studio).
• Familiarity with statistical methods and techniques for data analysis, DoD Risk Management Framework (RMF), and managing enterprise-level cross-functional teams.
• Ability to obtain a Secret clearance.
• Bachelor's degree in Information Technology, Computer Science, Mathematics, Statistics, Business, Engineering, or Physical Science.

Nice To Haves

• Experience working with technical staff and engineers.
• Knowledge of U.S. Navy Personnel Systems and MyNavy HR Transformation Initiatives.
• Attention to detail and a proactive, positive attitude.
• Excellent client-facing or consulting skills.
• Strong documentation and organizational skills.

Responsibilities

• Support client and stakeholder relationships using technical knowledge and analytical mindset.
• Research, develop, and test data methodologies to generate cross-functional solutions through data analysis.
• Guide decision-making across multiple organizations by contributing to impactful work.
• Simplify technical requirements and trends for various audiences using consulting and communication skills.
• Present data findings and recommendations to clients and stakeholders using databases and scripting languages.
• Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
• Apply data visualization techniques using tools like Tableau, Power BI, and MS Office products.

Benefits

• Health insurance
• Life insurance
• Disability insurance
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care support
• Recognition awards program

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree