Aptive is seeking a highly analytical and detail-oriented Data Analyst to support the Veterans Health Administration (VHA) in advancing operational performance, healthcare delivery, and digital transformation efforts under the Electronic Health Record Modernization (EHRM) program. This role is central to the management and integrity of data used across performance dashboards, operational tools, and analytic products.

Reporting to the Technical Development Lead and Lead Data Scientist, and working closely with the PowerBi and PowerApps Developers, this Data Analyst will serve as the primary resource for the creation and documentation of data-driven requirements and the implementation of rigorous data quality control processes. The analyst will also serve as a data steward to the Data Scientist, ensuring the availability of high-quality data for advanced statistical analysis and outcome measurement.

• Collaborate with the PowerBI Developer and Tech Dev Lead to ensure accurate, high-quality data feeds support reporting tools and dashboards.
• Actively participate in the development and documentation of detailed data requirements, including data definitions, lineage, requirements, logic rules, transformations, and reporting specifications.
• Create and own data validation and quality control processes to support clean and reliable data across all EHRM reporting assets, improving data-driven decision making, ensuring a repeatable and reliable process.
• Act as a data steward for the Data Scientist, supporting the collection, preparation, and organization of structured data sets used in predictive modeling, trend analysis, and advanced statistical use cases.
• Support collaboration between technical and functional teams to translate business needs into clear, actionable data and reporting requirements.
• Conduct analyses of clinical and operational data to assess system performance and support continuous improvement.
• Work with internal stakeholders to track, analyze, and visualize key performance metrics related to care delivery, EHR workflows, and user behavior.
• Apply Agile and SAFe Lean practices to contribute to sprint planning, backlog grooming, and iterative development cycles.

• Bachelor’s degree in a relevant field (e.g., Data Science, Information Systems, Public Health, Healthcare Informatics).
• 8+ years of relevant experience in data analysis, data management, or business intelligence support.
• Demonstrated experience documenting technical data requirements and supporting business intelligence tools (e.g., Power BI).
• Strong background in data quality control, data lineage, and data integrity processes.
• Familiarity with working alongside data scientists, informatics and statistical teams to support analytical pipelines.
• Experience supporting large federal agencies, preferably the VHA or DoD.
• Strong communication skills, with the ability to convey technical information clearly to stakeholders at all levels.
• Advanced proficiency with Microsoft Office (especially Excel, PowerPoint, and Word).
• Ability to obtain and maintain public trust clearance.

• Familiarity with VHA data systems and Veteran populations.
• Strong organizational, analytical, and prioritization skills.
• Experience in fast-paced environments requiring high attention to detail.
• Demonstrated ability to support and lead data-focused workstreams across technical and non-technical teams.

Aptive is a management consulting firm based in Alexandria, Virginia. With more than 500 employees across the U.S., we primarily support the federal government – more than a dozen agencies like Veterans Affairs, Transportation, Defense, Library of Commerce, Customs and Border Protection and the National Science Foundation. Our work focuses on applying creativity, technology and human-centered services to improve performance, bridge divides and elevate the lives of millions of people who count on government. services every day. 

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.