Data Analyst or Data Scientist

Responsibilities

• Be available on Government site in Washington, DC during normal hours of operation.
• Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
• Design data architecture approaches, integration strategies, and analytical frameworks that support current and emerging enterprise priorities across business lines.
• Assess new and existing data sources to determine structure, quality, completeness, relationships, and suitability for operational and analytical use.
• Define and refine conceptual, logical, and physical data models that support enterprise reporting, automation, and decision‑support needs.
• Work closely with ETL developers and analysts to validate business rules, identify data integrity issues before deployment, and provide corrective guidance on implementation approaches.
• Support requirements analysis, backlog refinement, sprint planning, sprint demonstrations, and incremental delivery of technical capabilities in an agile environment.
• Contribute to minimum viable product planning and incremental enhancement of data and analytical capabilities over multiple sprint cycles.
• Develop and maintain documentation as part of normal delivery activities, including system and architecture documentation, data flow documentation, runbooks, data definitions, and operational procedures.
• Provide technical recommendations regarding solution architecture, task sequencing, ROM estimates, risks, dependencies, alternatives, and opportunities for improved efficiency or reuse.
• Promote standard approaches to delivery, clear work tracking, and repeatable practices that support process maturity and more predictable outcomes.
• Support multiple business lines and enterprise priorities as required.
• Mentor less senior team members and support the overall quality and maintainability of technical deliverables.
• Other responsibilities as assigned.

• Master s degree in Computer Science, Information Systems, Data Science, Data Analytics, Mathematics, Statistics, Engineering, or other technical discipline. Additional relevant experience may be substituted for a degree consistent with contract requirements.
• Minimum 5 years of relevant experience in data architecture, data analysis, data science, enterprise analytics, data warehousing, or related technical delivery roles. 10 additional years of experience in lieu of degree.
• Demonstrated experience analyzing large datasets and identifying trends, gaps, anomalies, structural risks, and data integrity issues.
• Experience designing or supporting conceptual, logical, and physical data models in enterprise environments.
• Experience translating ambiguous business needs into structured data logic, technical requirements, and implementable architectural approaches.
• Experience validating business rule implementation and providing corrective guidance to technical delivery teams.
• Experience with SQL, relational data structures, data integration concepts, and enterprise reporting or analytics environments.
• Experience supporting agile or iterative delivery efforts with backlog-driven work, sprint-based execution, and incremental releases.
• Experience preparing and maintaining technical documentation supporting architecture, operations, continuity, and knowledge transfer.
• Ability to operate effectively in an enterprise production environment with minimal ramp-up time.
• Must be authorized to work for any employer in the U.S.
• Must be able to obtain and maintain the required security clearance.

• Experience supporting federal government customers in enterprise data warehouse, reporting, analytics, or decision-support environments.
• Experience supporting advanced analytics, enterprise reporting modernization, or data-driven process improvement efforts across multiple business lines.
• Experience working closely with ETL, reporting, and application development teams in governed production environments.
• Experience contributing to ROM development, effort estimation inputs, and documentation of risks, dependencies, and alternatives.