Data Analyst, Senior
The Opportunity:

You Have:

• 4+ years of experience independently performing data analysis and data modeling with minimal guidance or direction
• 3+ years of experience designing and automating HR performance dashboards for executive decision-makers, including KPI tracking, drill throughs, and scheduled refreshes
• 3+ years of experience querying relational databases using SQL
• 2+ years of experience developing data transformation scripts in Python, R, or SAS
• Experience serving as a subject matter expert in data analytics, data modeling, and data visualization, and developing or modifying statistical and predictive analytical models, algorithms, queries, and methodologies
• Experience maintaining or supporting data ontologies, taxonomies, metadata structures, or data governance frameworks, and coordinating with IT services to resolve data migration, validation, integration, and capability issues
• Experience evaluating process performance and recommending measurable improvements, applying quality control standards, and confirming that analytical deliverables meet established performance requirements
• Ability to communicate technical information effectively to agency leaders, managers, technical professionals, and team members at all levels
• TS/SCI clearance
• Bachelor's degree in Statistics, Mathematics, CS, Analytics, or a Data Science field

Nice If You Have:

• Experience analyzing human capital, workforce, or organizational data
• Experience with data governance, enterprise data standards, or ontology management
• Experience developing statistical or predictive solutions using Python, R, SQL, or comparable analytical tools
• Experience creating dashboards and data visualizations using Power BI, Tableau, Qlik, or similar platforms
• Experience supporting data migration, system modernization, or data quality initiatives
• Experience working in a federal government or national security environment
• Ability to translate complex analytical results into concise recommendations for non-technical decision-makers
• Possession of strong analytical, problem-solving, and critical-thinking skills
• Master's degree in Data Science, Statistics, Analytics, Mathematics, CS, or a related 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 $112,800.00 to $257,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

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.