<strong>Company Description<br><br></strong>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.<br><br>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.<br><br> Description<br><br></strong><strong>Union: </strong>Non-Union<br><br><strong>Number of vacancies: </strong>1<br><br><strong>New or Replacement Position: </strong>New<br><br><strong>Site:</strong> Toronto General Hospital<br><br><strong>Department: </strong>Data & Analytics<br><br><strong>Reports to: </strong>Manager, Data & Analytics<br><br><strong>Salary Range: </strong>$35.35 to $53.03 per hour<br><br><strong>Hours: </strong>37.5 hours per week<br><br><strong>Status: </strong>Temporary Full-Time<br><br><strong>Closing Date:</strong> August 31, 2026<br><br>UHN Data & Analytics supports UHN’s growing demand for data and data-driven insights, helping TeamUHN ensure the needs of patients come first. Our collective goal is to better see, understand, and use data to help UHN become a data-driven organization, advance strategic priorities, and improve care, research, and education. UHN Data & Analytics supports data-driven decision-making, performance improvement, data governance, analytics, and automation through collaboration across the organization.<br><br>The Decision Support Analyst (Industrial Engineer) will play a key role in supporting resource management analysis across UHN. With a strong industrial engineering background, the successful candidate will apply industrial engineering methods, operational analytics, and data-driven problem solving to assess capacity, demand, workflow, staffing, productivity, and resource utilization. This role requires strong analytical and process improvement skills, expertise in data analysis and visualization tools, and the ability to translate complex operational data into practical recommendations that support planning, performance improvement, and decision-making.<br><br><strong>Duties<br><br></strong><ul><li>Conduct resource management analysis to assess capacity, demand, staffing, workload, productivity, utilization, and service performance across clinical and operational areas.</li><li>Apply industrial engineering methods, including process mapping, workflow analysis, time-and-motion concepts, queueing principles, simulation, optimization, and productivity analysis, to identify improvement opportunities.</li><li>Develop, maintain, and enhance decision support tools, models, reports, and dashboards that support resource planning, operational performance monitoring, and evidence-based decision-making.</li><li>Partner with clinical programs, operational leaders, finance, and data teams to define business questions, translate operational needs into analytical approaches, and support implementation of recommendations.</li><li>Analyze trends, variances, constraints, and drivers of resource use to support workforce planning, service planning, throughput improvement, and performance management.</li><li>Prepare clear presentations, briefing materials, and recommendations for stakeholders at all levels, translating complex analysis into practical insights and actionable options.</li><li>Build and apply analytical models to evaluate capacity constraints, resource allocation options, staffing scenarios, service demand, and operational trade-offs.</li><li>Support scenario planning, forecasting, and sensitivity analysis to help leaders understand the operational impact of changes in volume, staffing, schedules, models of care, or service delivery.</li><li>Work with stakeholders to validate data sources, assumptions, definitions, and methodology to ensure analyses are accurate, transparent, and aligned with operational realities.</li><li>Monitor the impact of operational and resource management initiatives by developing performance indicators, tracking outcomes, and identifying opportunities for further refinement.</li><li>Develop standard approaches, documentation, and repeatable analytical methods to strengthen consistency, transparency, and sustainability of resource management reporting and analysis.</li><li>Contribute to continuous improvement initiatives by identifying opportunities to improve efficiency, standardize processes, and strengthen the quality and usability of decision support outputs.</li><li>Other duties as required.<br><br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>Bachelor’s degree in Industrial Engineering, Health Systems Engineering, Operations Research. A master’s degree is preferred.</li><li>Strong industrial engineering skill set, including demonstrated experience with process improvement, workflow analysis, capacity and demand analysis, resource optimization, productivity measurement, and operational performance evaluation.</li><li>Minimum of 2 years of experience in decision support, industrial engineering, operations analytics, health system analytics, business intelligence, or a related analytical role.</li><li>Experience conducting resource management analysis in complex operational environments; health care experience is strongly preferred.</li><li>Proficiency in data analysis tools such as SQL, SAS, Python, R, Excel, Power Query, or similar tools.</li><li>Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.</li><li>Strong analytical, quantitative, and problem-solving skills, with attention to data quality, assumptions, limitations, and practical interpretation.</li><li>Excellent communication and presentation skills, with the ability to clearly explain complex operational and analytical findings to technical and non-technical audiences.</li><li>Proven ability to work collaboratively with multidisciplinary teams, manage multiple priorities, and support stakeholders through analytical findings and recommendations.</li><li>Experience with forecasting, predictive modeling, simulation, optimization, or advanced statistical analysis is an asset.</li><li>Attention to detail and commitment to data accuracy, documentation, and reproducible analysis.<br><br><br></li></ul><strong>Additional Information<br><br></strong><strong>Why join UHN?<br><br></strong>In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.<br><br><ul><li>Competitive offer packages</li><li>Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP access to Transit and UHN shuttle service</li><li>A flexible work environment</li><li>Opportunities for development and promotions within a large organization</li><li>Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)<br><br><br></li></ul>Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.<br><br>All applications must be submitted before the posting close date.<br><br>UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position.<br><br>Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.<br><br>UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.<br><br>We thank all applicants for their interest, however, only those selected for further consideration will be contacted.