Senior Data Analyst – AI Research Systems Support

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.

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.