Data Analyst, Sr – AI Research Systems Support in United States at Jobgether

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.

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.

• 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.