Journeyman Data Analyst

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 accessibility, efficiency, and reliability.

• Develop and maintain documentation, reports, briefing materials, and technical artifacts related to data governance, repository management, and integration activities.

• Support integration of new data models, standards, schemas, and artifacts into existing enterprise environments.

• Collaborate with engineering, operations, and stakeholder teams to support evolving mission and program data requirements.

• Provide recommendations to improve enterprise data architecture, governance policies, interoperability standards, and repository performance.

• Communicate technical findings and recommendations clearly through written documentation, visual presentations, and verbal briefings suitable for both technical and non-technical audiences.

Basic Qualifications

• Requires BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.

• TS/SCI with Polygraph clearance required.

• Experience supporting enterprise data lifecycle management processes and data governance initiatives.

• Experience with data integration, interoperability, metadata management, and repository administration.

• Knowledge of configuration management principles, version control practices, and documentation governance.

• Experience developing and maintaining technical documentation, reports, and briefing materials.

• Proficiency with data management and analysis tools such as SQL, Python, Excel, Access, or equivalent technologies.

• Experience supporting enterprise data repositories, storage environments, or data management platforms.

• Ability to analyze data-related processes and recommend improvements to data quality, accessibility, and operational efficiency.

• Strong written and verbal communicat