Data Analyst, Sr – AI Research Systems Support

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst, Sr – AI Research Systems Support in the United States.

This role sits at the intersection of data analytics, AI innovation, and federal research modernization, supporting large-scale initiatives within a complex healthcare and research environment. The Senior Data Analyst will contribute to enterprise-level AI and analytics programs that improve research portfolio visibility, operational reporting, and decision-making capabilities. Working in a fully remote setting, the position combines hands-on data engineering and statistical analysis with strategic collaboration across technical and operational teams. The work directly supports AI-enabled modernization efforts, including experimentation with large language models and advanced analytics workflows. You will play a key role in transforming raw data into actionable insights that guide research, policy, and operational strategy. The environment is fast-paced, mission-driven, and highly collaborative, requiring both technical depth and strong communication skills. This is an impactful opportunity to shape data-driven innovation within a national research ecosystem.

In this role, you will support enterprise analytics and AI-driven modernization efforts by developing scalable data solutions, delivering insights, and enabling data-informed decision-making across research and operational domains.

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

Requirements:

This role requires extensive experience in data analytics and statistical programming, along with the ability to work with complex datasets and emerging AI technologies in a mission-driven environment.

• Bachelor’s degree in data science, statistics, computer science, healthcare informatics, or a related field.
• 8+ years of experience in data analytics, statistical programming, or enterprise data operations.
• Strong proficiency in SQL, Python, ETL processes, and relational/non-relational databases.
• Experience building dashboards, reports, and data visualization solutions (BI tools preferred).
• Familiarity with cloud-based 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 with the ability to translate complex data into actionable insights.
• Experience with data quality assurance, validation, and governance practices.
• Excellent communication skills with the ability to present findings to executive and non-technical audiences.
• Ability to work independently in a remote environment while managing multiple priorities effectively.
• US work authorization and ability to obtain and maintain a Public Trust clearance.

Benefits:

• 100% remote work environment with flexible work arrangements.
• Competitive compensation aligned with experience and qualifications.
• Opportunity to contribute to high-impact federal AI and research modernization initiatives.
• Access to advanced analytics, AI, and cloud-based data environments.
• Collaborative and mission-driven work culture focused on public service impact.
• Professional growth opportunities in data science, AI, and enterprise analytics.
• Exposure to cutting-edge AI-enabled analytics and large-scale research systems.
• Work on programs supporting national healthcare and research innovation efforts.