Research Information Systems & Analytics Specialist

Special Instructions to Applicants Applicants must be currently authorized to work in the United States on a full-time basis without the need for visa sponsorship. The University will not sponsor applicants for work visas (e.g., H-1B). Job Summary The Research Information Systems Analytics Specialist supports the University’s research enterprise by developing and maintaining data systems, dashboards, reports, and analytic tools that improve research administration, compliance, and strategic decision-making. The position integrates and analyzes data from institutional systems such as PeopleSoft and Cayuse and develops accessible reporting and visualization tools using Power BI and related technologies. Serving as a technical resource for research data and information systems, the Specialist collaborates with faculty, research administrators, and campus leadership to improve data quality, reporting, workflows, and operational effectiveness. Primary Duties and Responsibilities Develops, maintains, integrates, and validates research administration and research security data from enterprise platforms such as PeopleSoft, Cayuse, and other institutional systems to ensure data accuracy, integrity, accessibility, and sustainability. Develops and maintains dashboards, reports, analytics, metrics, and decision-support tools that provide insight into sponsored programs, research activity, compliance, research security, institutional performance, and strategic priorities. Supports research security and compliance activities by developing data resources, workflows, tracking mechanisms, and reporting processes for monitoring, risk assessment, institutional reporting, and regulatory requirements. Designs, implements, and improves electronic workflows, business processes, databases, and technology-enabled solutions that strengthen data governance, reporting capabilities, and research administration operations. Serves as a technical resource for business intelligence, data visualization, research administration systems, and related technologies; provides user support, training, troubleshooting, documentation, and consultation to faculty, administrators, and other stakeholders. Evaluates, tests, implements, and supports emerging technology solutions, including AI-enabled applications, to improve research administration, compliance, operational efficiency, and decision-making while supporting appropriate data governance, confidentiality, security, and responsible use. Collaborates with campus and external stakeholders on strategic initiatives and special projects by conducting analyses, developing reports and documentation, establishing procedures, and adapting systems and reporting practices to evolving institutional, sponsor, and regulatory requirements. Performs other duties as assigned.