Full-Time
Data Analyst
Updated on 9/11/2026
Dezign Concepts
Compensation Overview
$175k/yr
No H1B Sponsorship
Bethesda, MD, USA
In Person
Onsite work in Bethesda, Maryland is required.
US Citizenship, US Top Secret Clearance Required
Bachelor's
Category
 Data & Analytics (1) |
|---|
Required Skills
Python
SQL
Version Control
JIRA
Confluence
Data Governance
Data Analysis
Excel/Numbers/Sheets
Requirements
- Must be a U.S. citizen.
- Must possess an existing active Top Secret SCI clearance with polygraph.
- Requires a Bachelor of Arts or Bachelor of Science degree and 8 or more years of experience supporting data management, data governance, data integration, or enterprise data environments; alternatively, no degree and 12 or more years of relevant experience.
- 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.
- Ability to work independently and collaboratively within a fast-paced mission environment.
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 through written documentation, visual presentations, and verbal briefings for technical and non-technical audiences.
Desired Qualifications
- Experience supporting Intelligence Community programs or other federal government environments.
- Familiarity with data governance frameworks, metadata standards, and enterprise data management best practices.
- Hands-on experience with Jira, Confluence, or other collaboration and configuration management tools.
- Experience supporting cloud-based data environments and enterprise storage architectures.
- Familiarity with automation processes that improve data validation, ingestion, and reporting workflows.
- Experience supporting configuration control boards, technical review processes, or engineering documentation management.
- Understanding of enterprise interoperability standards and data exchange methodologies.
- Experience developing Data Management Lifecycle Documentation, Data Governance and Quality Plans, Data Integration and Interoperability Plans, Data Repository and Infrastructure Documentation, Configuration Management and Documentation Review Reports, Data Standards and Architecture Recommendations, and Data Performance and Reliability Reports.