Data Analyst, Teaching & Learning

Date Posted: 10/02/2026Req ID: 50419Faculty/Division: VP & ProvostDepartment: Vice-Provost, Teaching & LearningCampus: St. George Downtown TorontoPosition Number: 00051167 Existing Vacancy: Yes Description: About us: The Office of the Vice-Provost, Teaching & Learning OVPTL formerly known as Office of the Vice-Provost: Innovation in Undergraduate Education supports ongoing and new efforts to enhance the quality and expand the reach of high-impact teaching and learning practices at the University of Toronto. To support teaching and learning across the University, the OVPTL maintains a robust profile related to five key priorities: 1. Teaching Awards & Grants: Recognizing and funding staff and faculty who demonstrate commitment to innovation and excellence in teaching practices. 2. Curriculum Development: Working with institutional and divisional stakeholders to develop and assess course and program-level outcomes. 3. Teaching Initiatives: Stewarding the development of institutional frameworks and resources for innovative teaching practices, such as experiential learning, undergraduate research and generative artificial intelligence in teaching and learning. 4. Digital Transformation: Building and supporting systems that enable faculty, staff and students to achieve their academic goals. 5. Analytics: Leveraging data to enhance program planning, decision-making and student success.Your opportunity: Reporting to the Manager, Student Success Analytics, the Data Analyst, Teaching & Learning, will be part of a dynamic, collaborative, and innovative group focused on enhancing undergraduate student academic success at the University. By utilizing existing data tools and creating customized analyses and visualizations, you will identify areas of opportunity to support student retention, progression, and graduation for undergraduate students at the University of Toronto. Current priorities include establishing and supporting a sustainable institutional reporting and analytics framework, enabling the University to use student engagement data for institutional planning, student success initiatives, and unit-level decision-making. This work will create institutional reporting capabilities that deliver consistent, aggregated reporting on student engagement by division; strengthen existing student success analytics by integrating engagement indicators with retention, progression, and graduation data; and develop a standard assessment and planning package using a common baseline set of reports. The role will also contribute to other institutional projects that support the teaching and learning environment, potentially including the University’s Learning Analytics efforts using data from the learning management system Canvas, known as Quercus at U of T, and other projects that provide key data insights to instructors, staff and academic leaders to support data-informed decisions that enhance teaching and learning.Across projects, the Analyst will consult




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