Data Analyst, Sr – AI Research Systems Support

Aptive•UNAVAILABLE, UNAVAILABLE

4h•Remote

About The Position

Aptive Resources is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making. The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements. The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments. This is a full-time (40 hours/week), 100% remote position. It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.

Requirements

Bachelor’s degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field.
8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.
Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.
Experience developing dashboards, reports, data visualizations, or business intelligence solutions.
Experience supporting cloud-based analytics, data warehouse, or data lake environments.
Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows.
Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights.
Experience supporting data quality management and validation activities.
Ability to communicate technical findings clearly to executive and non-technical stakeholders.
Proficiency with Microsoft Office Suite, including Excel and PowerPoint.
Ability to work independently in a remote environment while managing multiple priorities.
Ability to obtain and maintain a public trust clearance.
Legal authorization to work in the United States.

Nice To Haves

Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments.
Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions.
Familiarity with REDCap, healthcare data systems, or research data environments.
Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives.
Familiarity with cloud platforms such as Azure or AWS.
Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities.
High degree of professionalism, discretion, and mature judgment in handling sensitive information.

Responsibilities

Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives.
Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.
Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources.
Support development and optimization of ETL workflows, reporting processes, and analytics activities.
Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.
Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis.
Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.
Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments.
Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities.
Support data quality management, validation, and continuous improvement activities.
Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.