Job Description
Company DescriptionThe University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada's largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.Job DescriptionUnion: Non-UnionSite: Toronto General HospitalDepartment: UHN Data & Analytics, Enterprise Data Operations, Decision SupportReports to: Decision Support ManagerWork Model: HybridGrade: N0:08Hours: 37.5 per weekSalary: $74,428 to $93,035 annually (To commensurate with experience and consistent with UHN compensation policy)Status: Permanent Full TimeClosing Date: July 23, 2024Position SummaryThe Senior Decision Support Analyst will play a critical role in providing data-driven insights and analysis to support strategic decision-making within the organization. The ideal candidate will possess excellent analytical skills, a thorough understanding of data management, the ability to translate complex data into actionable information, and strong interpersonal skills to communicate effectively with different stakeholders.DutiesData Analysis and Reporting: Collect, analyze, and interpret large datasets to identify trends, patterns, and insights; Develop and maintain dashboards, reports, and data visualizations using tools such as Power BI, Tableau, or similar; Provide regular and ad-hoc reports to support business decisions.Business Intelligence: Collaborate with stakeholders to understand their data needs and provide appropriate solutions; Use advanced analytical techniques to support business objectives, including predictive modeling, trend analysis, and statistical analysis.Decision Support: Assist in the development of strategic plans by providing relevant data and analysis; Evaluate the effectiveness of business strategies and initiatives through data analysis and reporting; Provide recommendations based on data analysis to improve business performance.Data Management: Ensure the integrity and accuracy of data by implementing and maintaining data quality processes; Work with IT and other departments to integrate data from various sources into a central database.Project Management: Lead or participate in data-related projects, ensuring timely and accurate delivery of project outcomes; Document and communicate project progress, challenges, and outcomes to stakeholders.Training and Support: Provide training and support to end-users on data tools and reporting systems; Develop user guides and documentation for data systems and tools.Other duties as required.QualificationsUndergraduate Degree in Data Science, Industrial Engineering, Business Administration, Math, Statistics, or related fieldMinimum 2 years of experience in a data analysis, business intelligence, or decision support role.Experience in delivering presentations, training and/or end user support.Excellent problem definition, problem resolution, business analysis, and systems analysis skillsDemonstrated proficiency in qualitative and quantitative data analytics, data visualization, and data reportingExcellent written and oral communication skillsExcellent prioritization, organization skills and flexibility to work in a highly dynamic and fast-paced environmentWell-developed facilitation, interviewing, conflict resolution, and consensus-building skillsExcellent interpersonal and client relationship skills, with the ability to communicate effectively with both technical and non-technical teamsDemonstrated ability to work independently and also as a contributing team memberWell-developed ability to evaluate situations and make judgement calls on timely issue escalationExperience in healthcare, finance, or another data-intensive industry is preferred.Proficiency in data analysis and visualization tools such as Power BI, Tableau, SQL, and Excel.Clinical training and experience with electronic patient record systems an assetExperience with statistical software (e.g., SAS, SQL, Python, R) is advantageous.Additional InformationWhy join UHN?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.Competitive offer packagesGovernment organization and a member of the Healthcare of Ontario Pension Plan (HOOPP) * Close access to Transit and UHN shuttle serviceA flexible work environmentOpportunities for development and promotions within a large organizationAdditional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)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.All applications must be submitted before the posting close date.UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.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.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.We thank all applicants for their interest, however, only those selected for further consideration will be contacted.University Health Network
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