Data Analytics Coordinator
Date Posted: 01/06/2025
Req ID: 41226
Faculty/Division: Temerty Faculty of Medicine
Department: Office of the Dean
Campus: St. George (Downtown Toronto)
Position Number: 00057521
Description:
About us:
The Temerty Faculty of Medicine at the University of Toronto is at the centre of one of North America’s largest biomedical research, education and clinical care networks. With nine fully affiliated research-intensive hospitals — and dozens of community and clinical care sites — Temerty Medicine offers unparalleled opportunities in Canada’s most dynamic city for our more than 9,000 faculty and staff and 7,000 learners at all levels.
Annually, Temerty Medicine contributes almost one-third of the family physicians who train and enter practice in Ontario, and over half of the specialist physicians. We also train hundreds of rehabilitation health professionals, physician assistants and medical radiation technologists, and over 3,000 graduate life-sciences learners — many of whom find work in postsecondary education and industry. Globally, we have over 69,000 alumni.
Your opportunity:
As Data Analytics Coordinator, you will play a key role in enhancing a data management system across the Faculty. You will be responsible for extracting, analyzing, and organizing large volumes of confidential case management information into clear, actionable, and presentable formats. Your ability to quickly learn and understand complex data systems and information flows will be essential as you will be looked upon to help pull key themes and narratives. Drawing upon your advanced analytical skills and ability to simplify and transform data into easy to understand and actionable reports, your will empower our Faculty leadership make evidence-based decisions.
Your responsibilities will include:
- Running data queries; identifying and resolving data discrepancies and anomalies; and generating data quality reports
- Conducting detailed data analysis to provide actionable insights that support informed decision-making for management
- Organizing, cleaning, and processing large data sets from multiple sources to ensure accuracy and consistency, ensuring data is in optimal format for analysis and reporting
- Formatting and structuring data collected into clear, visually appealing dashboards, reports and presentations
- Updating and maintaining database records to ensure data integrity and accuracy
- Assessing and determining the most effective methodologies for data retrieval, manipulation, and analysis, to improve data quality and processes
Essential Qualifications:
- Bachelor's Degree or acceptable combination of equivalent experience
- Minimum three years of experience in data analytics and business intelligence supporting data-driven decision making
- Demonstrated experience working with large and complex data sets, including experience with data collection, data extraction and data analysis and its applicable tools
- Experience driving improvements to data integrity and data quality
- Experience formatting data and preparing and interpreting dashboards and statistical reports
- Advanced proficiency in MS Office Suite, learning management systems and data visualization software (MS Power BI, Tableau)
- Excellent communication, oral presentation and problem-solving skills, with the ability to interpret and summarize information
- Strong database management, spreadsheet and presentation design skills
- Attention to detail and a high degree of accuracy
- Ability to work in a team environment and exercise tact, discretion, flexibility and sound judgment
To be successful in this role you will be:
- Communicator
- Insightful
- Meticulous
- Organized
- Problem solver
Closing Date: 01/27/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Budget - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 10 -- $70,844. with an annual step progression to a maximum of $90,595. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Administrative / Managerial
Recruiter: Dinuka Perera
Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.
Job Segment:
Analytics, Database, Rehabilitation, Data Analyst, Data Management, Technology, Healthcare, Management, Data