Note: The job is a remote job and is open to candidates in USA. 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. This role involves supporting data analysis, reporting, and statistical programming to enhance decision-making and operational efficiency in research and enterprise modernization efforts.
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
Skills
- 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
- 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
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