UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.
UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.
www.uhn.ca
Union: Non-Union
Replacement or New: New
Site: Hydro Place - 700 University Avenue
Department: Finance – Corporate Billing and Accounts Receivable
Reports to: Senior Manager, Finance
Hours: 37.5 per week
Salary: $68,932 to $103,408 annually (To commensurate with experience and consistent with UHN compensation policy)
Status: Permanent Full-Time
Closing Date: June 10, 2026
Position Summary
Reporting to the Senior Manager, Revenue within Corporate Billing and Accounts Receivable (CBAR), the Data Analyst supports revenue reporting with a focus on new revenue generation and identifying revenue leakage. The role is responsible for analyzing data, developing and maintaining reports and dashboards, and translating business requirements into actionable insights, while also supporting ad hoc reporting, stakeholder collaboration, and basic project coordination activities.
Duties
- Analyze and interpret data to identify trends, risks, and opportunities related to revenue generation and leakage
- Deliver actionable insights and business recommendations to support informed decision-making
- Perform advanced data analysis using tools such as Excel, Power BI, SQL, and other query languages
- Leverage AI tools