Leidos has a new and exciting opportunity for a Journeyman Data Analyst in our Intel Sector Analysis Solutions Business Area (ASBA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions!
Must have an active TS/SCI Polygraph up front (this is firm).
Job Description:
Seeking a Data Analyst to support our customer onsite in Bethesda, MD. The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is structured, accessible, reliable, and aligned with mission and operational objectives as data volume, complexity, and interoperability requirements continue to evolve.
The successful candidate will establish and maintain data lifecycle processes, support integration and interoperability across systems, and assist with implementing data standards, governance policies, and repository management practices. This position will also support configuration management efforts through controlled reviews of technical and engineering documentation to ensure consistency, traceability, and version control across enterprise data assets and systems.
Key Responsibilities
- Establish, maintain, and improve enterprise data lifecycle processes, including data ingestion, storage, usage, archival, and retention practices.
- Support enterprise data governance initiatives by defining and maintaining data standards, validation rules, metadata management practices, and quality control procedures.
- Integrate disparate data sources and artifacts across federated systems to support interoperability and mission requirements.
- Support the development, maintenance, and optimization of enterprise data repositories and storage environments.
- Conduct data quality assessments and implement standardized processes to improve data reliability and minimize manual intervention.
- Perform configuration management and controlled documentation reviews to ensure alignment, traceability, consistency, and version control across data assets and engineering documentation.
- Analyze enterprise data structures, policies, and workflows to identify opportunities for improved accessibil