Data Analyst (Research)
Company: Michael Garron Hospital
Location: Toronto, ON M4C 3E7
Type: Full-time
Posted: 2026-05-05
About this role
OVERVIEW
The Data Analyst plays a critical role in enabling data-driven improvement, research, and decision-making within the hospital. Embedded within clinical and research teams, the analyst specializes in extracting, curating, and translating data from the Cerner electronic medical record (EMR) into actionable insights.
This role operates at the intersection of data, clinical care, and research—partnering closely with investigators, clinicians, and operational leaders to understand data needs, assess feasibility, and deliver timely, high-quality data solutions. A key feature of this role is responsiveness: supporting just-in-time data requests that inform rapid-cycle improvement, patient safety initiatives, and emerging research questions.
Situated withina dynamic community academic health system and connected to regional and national research networks, the Data Analyst will work directly with researchers, clinical teams, and administrators to secure data from across the enterprise solutions to support embedded science within the hospital and community.
This role directly enables safer, more effective, and more responsive care by ensuring that high-quality data is available when and where it is needed most. The Data Analyst is a key enabler of embedded research and a learning health system—turning data into insight, and insight into action.
EDUCATION
- Bachelor’s or Master’s degree in Health Informatics, Data Science, Epidemiology, Biostatistics, or related field
QUALIFICATIONS
- 2–5+ years of experience working with healthcare data, preferably within an EMR environment
- Demonstrated experience with Cerner data models and reporting tools (e.g., PowerInsight, Discern, HealtheIntent) is strongly preferred
- Knowledge and experience working with clinical administrative datasets (e.g. DAD, NACRS, CCRS, NRS, OHMRS)
Technical Skills
- Proficiency in SQL and data extraction from relational databases
- Experience with statistical or analyt...