Data Analyst

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., * 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., Power BI Equities Dashboard Analytics Test Case User Story Market Data Communication Data Analysis Data Modeling Agile Projects Sprint Planning Ancient History Secret Clearance Technical Issues Agile Methodology CompTIA Security+ Business Analytics Data Visualization Information Systems Data Transformation User Experience (UX) Business Requirements SQL (Programming Language) IAT Level II Certification User Experience (UX) Design Scrum (Software Development) Python (Programming Language) Data Analysis Expressions (DAX) Troubleshooting (Problem Solving) Application Programming Interface (API) +0

Google Advanced Data Analytics

Salesforce Developer Senior Data Analyst Leidos Alexandria, VA*On-Site Planning Power BI Big Data Refining Equities Dashboard DevSecOps Operations Leadership Management Statistics Mathematics Scalability Market Data Data Quality Data Science Communication Data Analysis Service Level Apache Hadoop Microsoft Azure Problem Solving Ad Hoc Analysis Data Processing Service Catalog Query Languages Ancient History Computer Science Machine Learning Data Engineering Product Planning Agile Methodology Unstructured Data Data Visualization Workflow Management Amazon Web Services Knowledge Management Top Secret Clearance Analytical Techniques Stakeholder Engagement Artificial Intelligence SQL (Programming Language) Customer Success Management Python (Programming Language) Continuous Improvement Process Tableau (Business Intelligence Software) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Google Advanced Data Analytics

Salesforce Developer SME Data Analyst Leidos Gaithersburg, MD*On-Site Planning Power BI Big Data Equities Dashboard DevSecOps Leadership Management Statistics Data Lakes Mathematics Scalability Market Data Data Quality Data Science Communication Data Analysis Service Level Data Modeling Apache Hadoop Problem Solving Service Catalog Ancient History Computer Science Machine Learning Product Planning Agile Methodology Use Case Analysis Analytical Method Advanced Analytics Data Visualization Workflow Management Predictive Modeling Knowledge Management Statistical Analysis Top Secret Clearance Predictive Analytics Programming Languages Stakeholder Engagement Artificial Intelligence Pandas (Python Package) R (Programming Language) Python (Programming Language) Continuous Improvement Process Tableau (Business Intelligence Software) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Equities Operations Management Automation Governance Purchasing Upskilling Reliability Market Data Traceability Data Quality Cryptography Data Analysis Presentations Data Modeling Data Exchange Data Ingestion Key Management Microsoft Excel Version Control Data Structures Quality Control Data Governance Data Management Data Validation Ancient History Microsoft Access Data Integration Interoperability Data Architecture Analytical Method Metadata Standards Workflow Management Metadata Management Time Off Management Security Engineering Lifecycle Management Atlassian Confluence Signals Intelligence Technical Documentation Data Quality Assessment Configuration Management Software Technical Review Engineering Documentation SQL (Programming Language) Verbal Communication Skills Computer Network Operations Python (Programming Language) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), Must have an active TS/SCI Polygraph up front (this is firm)., * 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 communication skills with the ability to present technical concepts to diverse stakeholder audiences., * 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 with the following Work Products preferred:

• 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
• Data Performance and Reliability Reports

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

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!, If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .