Journeyman Data Analyst

About the role

Leidos has a new and exciting opportunity for a Journeyman Data Analyst in our Intel Sector Analysis Solutions Business Area (ASBA).

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.

Requirements

• 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.
• TSC/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 communication skills with the ability to present technical concepts to diverse stakeholder audiences.

Qualifications

• BA/BS in Computer Science, Information Systems, or related field.
• 12+ years of relevant experience in data management, data governance, data integration, or enterprise data environments.
• 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 communication skills with the ability to present technical concepts to diverse stakeholder audiences.

Skills

• Data management and analysis tools (SQL, Python, Excel, Access, etc.)
• Data integration, interoperability, metadata management, and repository administration
• Configuration management principles, version control practices, and documentation governance
• Data governance frameworks, metadata standards, and enterprise data management best practices
• Collaboration and configuration management tools (Jira, Confluence, etc.)
• Cloud-based data environments and enterprise storage architectures
• Automation processes that improve data validation, ingestion, and reporting workflows
• Technical review processes, engineering documentation management
• Enterprise interoperability standards and data exchange methodologies
• Data standards and architecture recommendations
• Data performance and reliability reports

Benefits

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.

Pay

Pay Range $92,300.00 - $166,850.00

Schedule

Not specified