Data Analyst, Sr – AI Research Systems Support

Role Overview

Senior Data Analyst supporting AI Research Systems within a complex healthcare and federal research modernization environment. The role combines data engineering, statistical analysis, and collaboration across technical and operational teams to improve research portfolio visibility, reporting, and decision-making. Work is fully remote and mission-driven.

Responsibilities

• Build and maintain dashboards, reports, and data visualizations for leadership and operations
• Perform data extraction, transformation, validation, and analysis across enterprise data sources
• Develop and optimize ETL workflows, reporting pipelines, and analytics processes for scalability and efficiency
• Conduct statistical programming and advanced data analysis for research, portfolio management, and operational reporting
• Support AI-enabled analytics initiatives, including exploratory work with LLMs and retrieval workflows
• Integrate and analyze data from research platforms, cloud environments, databases, and operational systems
• Ensure data quality management, validation processes, and continuous improvement of data integrity standards
• Collaborate with technical, research, and operational stakeholders on AI pilots and analytics initiatives
• Prepare executive-level reports and presentations for both technical and non-technical audiences
• Contribute to scalable analytics frameworks to improve reporting responsiveness and decision support

Requirements

• Bachelor’s degree in data science, statistics, computer science, healthcare informatics, or related field
• 8+ years of experience in data analytics, statistical programming, or enterprise data operations
• Strong proficiency in SQL and Python, including ETL processes and relational/non-relational databases
• Experience building dashboards/reports/data visualizations (BI tools preferred)
• Familiarity with cloud data environments such as Azure or AWS
• Exposure to AI/ML concepts, including large language models and AI-enabled analytics workflows
• Strong analytical and problem-solving skills; ability to translate complex data into actionable insights
• Experience with data quality assurance, validation, and governance
• Excellent communication skills for executive and non-technical audiences
• Ability to work independently in a remote setting while managing multiple priorities
• US work authorization and ability to obtain/maintain a Public Trust clearance

Nice to Have

• Experience with BI tools
• Hands-on experience with retrieval workflows and experimental data solutions