This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Data Analyst to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.
Primary Responsibilities:
- Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
- Develop and maintain dashboards, reports, and visualizations to communicate analytical findings.
- Perform data exploration, cleansing, transformation, and validation to ensure data quality and integrity.
- Apply statistical and analytical techniques to support mission and business decision-making.
- Collaborate with data engineers, data scientists, and business stakeholders to define and refine data requirements.
- Support development and delivery of enterprise data products and analytics solutions.
- Conduct ad hoc analysis and generate reports in response to stakeholder needs.
- Support integration of analytics into DevSecOps pipelines and operational workflows .
- Validate data outputs and ensure alignment with business and technical requirements.
- Document data sources, methodologies, and analytical processes.
- Identify opportunities to improve data analysis processes, tools, and reporting capabilities.
- Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives.
Basic Qualifications:
- Active Top Secret (TS) clearance with SCI eligibility.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related technical discipline and 8–12 years of relevant experience OR Master’s degree in a related fie