Data Analyst, Senior
Job Description
Responsibilities
- Analyze structured and unstructured data to support decision-making across the client organization.
- Develop reports, dashboards, and visualizations from diverse data sources to provide leadership and operations teams with actionable insights.
- Collaborate with database administrators, system engineers, and mission stakeholders to deliver high-quality, data‑driven visualization solutions in support of the SOCOM mission.
- Apply technical knowledge and analytical thinking to strengthen client and stakeholder relationships.
- Research, develop, and test data methodologies and generate cross-functional solutions.
- Collect, interpret, and analyze large datasets from multiple sources to identify trends and inform decisions.
- Contribute to impactful work and guide decision-making across multiple organizations.
- Develop and maintain dashboards and visualizations using Tableau, Power BI, or other data integration platforms.
- Write queries and scripts to extract, manipulate, and analyze data from enterprise databases.
- Ensure compliance with client data governance, classification, and cybersecurity standards.
- Provide analytical support for strategic initiatives, operational planning, and mission readiness assessments.
- Clarify technical requirements and trends for diverse audiences to support effective communication.
- Present data findings and recommendations to clients and stakeholders using knowledge of Palantir Foundry and Maven, Tableau, Qlik, Power BI, and Microsoft Office.
- Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
- Apply data visualization across formats, including Tableau and Power BI.
- Mentor junior team members by reviewing analytical outputs, ensuring adherence to USSOCOM data governance standards, and fostering technical skill development.
Requirements
- 8+ years of experience in data analysis, data engineering, or data science
- 3+ years designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale
- Experience with Palantir Maven Smart System
- Experience with data visualization tools such as Tableau, Qlik, or Power BI
- Experience delivering solutions within a collaborative, cross-functional team environment
- Experience writing queries for data extraction and analysis
- Knowledge of SQL
- Knowledge of Python, Java, C++, or .NET
- TS/SCI clearance
- Bachelor's degree in Computer Science, Data Science, or Mathematics
Technologies
- Palantir Foundry
- Palantir Maven Smart System
- Tableau
- Qlik
- Power BI
- Microsoft Office Suite
- SQL
- Python
- Java
- C++
- .NET
- Spark
- Databricks
- Hadoop
- Hive
- AWS EMR
- Kafka
- Microsoft SharePoint
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
Identity verification
As part of the hiring process, Booz Allen uses an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You will be expected to be on camera during interviews and assessments, and Booz Allen reserves the right to take your photo to verify identity. This helps prevent fraud.
Candidate AI Usage Policy
AI is part of Booz Allen's daily operations, and the firm is committed to responsible use of AI tools. For candidate responses, use of artificial intelligence during interviews is prohibited unless explicit permission is provided.
Work model
- Remote: May require occasional in-person work at Booz Allen or client facilities.
- Hybrid: Regular in-person work at Booz Allen facilities is expected, with potential visits to customer sites.
- Onsite: Primarily performed at a Booz Allen office or customer facility, with direct collaboration.
Clearance
TS/SCI clearance is required; applicants may undergo a security investigation to determine eligibility for access to classified information.
Compensation
Projected annual salary range: USD 77,500 to 176,000. Compensation is determined by location, education, knowledge, skills, competencies, experience, contract-specific factors, and organizational requirements.
Commitment to non-discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.