Data Analyst
Listed on 2026-03-07
-
IT/Tech
Data Engineer, Data Analyst, Data Security, Data Warehousing
Type of Requisition
Regular
Clearance Level Must Currently PossessSecret
Clearance Level Must Be Able to ObtainSecret
Public Trust/Other RequiredNone
Job FamilyData Science and Data Engineering
Job Qualifications- Skills: Data Processing, Data Quality, Data Standards
- Certifications: None
- Experience: 3+ years of related experience
- US Citizenship
Required:
Yes
Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Analyst Senior at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.
MEANINGFUL WORK AND PERSONAL IMPACT
As a Data Analyst, you will play a critical role in ensuring the quality, security, and proper management of USAREUR-AF data assets. You will support the development and enforcement of data standards, perform data process mapping, and identify key information Theater exchanges across USAREUR-AF systems and organizations to support mission command and enterprise-level data integration. Expertise in Maven Smart Systems (MSS) or other Army data platforms, particularly in workflow development, is essential to embedding governance practices into operational and analytical environments.
Howa Data Analyst will make an impact
- Implementation and monitoring of data governance policies and standards across USAREUR-AF data domains.
- Conducting data process mapping to document how data flows across systems, units, and operations.
- Identifying and documenting key information exchanges between mission systems, business systems, and external partners.
- Developing, refining, and managing workflows within Maven Smart Systems (MSS) and additional Army data platforms to enable automated, compliant data processes.
- Integrating data governance controls, metadata standards, and access policies into MSS workflows.
- Collaborating with stakeholders to define data requirements and ensure data quality.
- Documenting and cataloguing APIs and data sharing agreements to improve transparency and interoperability across systems.
- Supporting metadata management, data lineage tracking, and data catalog initiatives.
- Collaborating with data stewards, system owners, and functional representatives to resolve data quality and interoperability issues.
- Ensuring compliance with Army and DoW data governance frameworks, including cybersecurity and data protection requirements.
- Participating in working groups and governance boards focused on Theater enterprise data and analytics strategy and information sharing.
- Supporting data classification, access control, and master data management initiatives.
- Education: Bachelor’s degree in information systems, Data Management, or a related discipline.
- Required Experience:
- Maven Smart Systems (MSS): 1–2 years of hands-on experience working with MSS, including designing workflows and managing data processes.
- Data Integration & Presentation: 1–2 years of experience establishing data connections from diverse data hosts (e.g., databases, cloud platforms) and transforming that data into meaningful visualizations or presentations for varied audiences, including leadership and stakeholders.
- Cloud Data Tools: 2–3 years of experience working with data sets and tools within cloud platforms such as AWS, Azure, or Google Cloud, including data ingestion, transformation, and analytics.
- Data Governance & Management: 3–5 years of experience in data governance, data management, or data architecture, with a focus on ensuring data quality, security, and compliance across systems.
- Required Technical
Skills:- Maven Smart Systems (MSS): 1–2 years of hands‑on experience with MSS or similar Army data platforms, including workflow design, data integration, and process automation.
- Data Process Mapping:
Proficiency with data process mapping tools (e.g., Microsoft Visio, BPMN tools) and methodologies to document and optimize data flows across systems and operations. - Cloud Data Integration: 2–3 years of experience working with data tools and platforms within AWS, Azure, or Google Cloud, including establishing secure data connections, ingesting data, and transforming it for analytics and…
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