Data Resource Analyst

The College of Veterinary Medicine is seeking an experienced data analytics professional to help shape the future of data reporting and business intelligence across the college. This position offers an opportunity to build and improve how data is collected, analyzed, and used across our diverse and complex operations.

Working collaboratively with college leadership, academic and administrative units, and technology partners, this individual will develop meaningful reporting tools, improve data consistency, and translate complex information into actionable insights that support informed decision-making.

Key Responsibilities

Data Governance and Quality

• Establish and maintain consistent data definitions, reporting standards, and data quality practices across the college.
• Collaborate with college units and technical teams to identify reliable data sources, resolve inconsistencies, and improve the accuracy and accessibility of information.
• Support responsible data stewardship, including appropriate access, documentation, and handling of confidential or sensitive information.

Business Intelligence and Reporting

• Design, develop, and enhance dashboards, reports, and analytical tools that provide meaningful insights into college operations and performance.
• Partner with stakeholders to identify key performance indicators, reporting needs, and opportunities to improve how information is shared and used.
• Develop reporting solutions supporting the college's academic programs, clinical and diagnostic operations, research, workforce, financial activities, and strategic initiatives.
• Identify opportunities to simplify, automate, and improve existing reporting processes.

Data Analysis and Decision Support

• Analyze data and trends to help college leadership identify opportunities, address challenges, and make informed operational and strategic decisions.
• Develop analyses, models, and reporting tools that support planning, budgeting, forecasting, resource allocation, and program evaluation.
• Present complex information in a clear and meaningful way to audiences with varying levels of technical expertise.

Collaboration and Technology Solutions

• Serve as a key partner between college stakeholders and information technology professionals to identify and develop effective data and reporting solutions.
• Translate operational needs into business and technical requirements, supporting the development of data integrations, reporting systems, and analytical tools.
• Participate in the design, testing, and implementation of new reporting capabilities and improvements to existing systems.
• Help prioritize analytics and reporting initiatives based on college needs, available resources, and potential impact.

Accreditation, Institutional Reporting, and Continuous Improvement

• Support accreditation, institutional reporting, and other external reporting needs through accurate, consistent, and reliable data analysis.
• Collaborate with academic leadership and accreditation teams to improve reporting processes and support ongoing program assessment.
• Identify opportunities to strengthen the college's overall data and analytics capabilities through standardization, automation, and process improvements.
• Promote data literacy by helping stakeholders understand and effectively use available information and reporting tools.

Knowledge equivalent to that which normally would be acquired by completing one or two years of post-bachelor degree work, such as a Master's in analytics, information systems, business, statistics, computer science, public administration, higher education, or a related field; three to five years of related and progressively more responsible or expansive work experience in research design, statistical methods and knowledge of computer hardware and software;

or an equivalent combination of education and experience.

• Experience analyzing complex data, reconciling multiple sources, and developing reports, dashboards, or decision-support tools.
• Ability to translate business needs into data and reporting requirements and identify data quality issues.
• Experience with Power BI, Tableau, or similar tools; working knowledge of relational databases, data models, and SQL.
• Strong analytical, organizational, documentation, and communication skills, with the ability to manage competing priorities and collaborate across units.
• Master’s degree in a related field. Experience in higher education, academic health sciences, or a complex…