Data analyst Offres d'emploi - Camlachie, ON

Data Analyst, Course Evaluations

Date Posted : 02 / 10 / 2025

Req ID : 41370

Faculty / Division : VP & Provost

Department : Centre for Teaching Support & Innovation

Campus : St. George (Downtown Toronto)

Position Number : 00041683

Description : About us :

The Centre for Teaching Support & Innovation (CTSI) provides leadership in teaching and learning at the University of Toronto and serves as the University’s central teaching “hub”. In a dynamic and highly collaborative environment, CTSI provides support for pedagogy and pedagogy-driven instructional technology for all teaching staff and teaching assistants across the University’s campuses and divisions. Its services include organizing special events and programming for instructors and teaching assistants related to a range of teaching topics, including educational technologies; conducting personalized and confidential consultations; offering job training and a certificate program for teaching assistants; supporting inquiry into teaching through the Scholarship of Teaching and Learning; providing pedagogical guidance for the use of the institutional learning management system (Quercus); and supporting the institutional online course evaluation system. Driven by the latest advancements in higher education practices and informed by emerging research in post-secondary teaching and learning, CTSI staff work directly with faculty, graduate students, departments and divisions and in partnership with a range of University offices to enhance teaching and learning across the institution.

Your opportunity :

Under the general direction of the Director and Associate Director, CTSI and direct supervision of the Senior Manager, Evaluation & Assessment, the Data Analyst, Course Evaluation, will be an integral member of the Evaluation & Assessment team. The incumbent is responsible for performing complex statistical analyses and research work in collaboration with the SoTL team and Course Evaluation Operation team at CTSI. The incumbent will work primarily with course evaluation data collected through the online course evaluation system and framework, as well as analytics and surveys conducted in support of these efforts. The Data Analyst, Course Evaluations will contribute to ongoing quality improvement and evaluation by contributing to research reports and papers, workshops and presentations, and resources for academic leadership, faculty and students.

Your responsibilities will include :

• Analyzing complex data that requires attention to detail and statistical best practices
• Producing complex statistical information using multivariate statistical analyses in R, Python, and / or SAS
• Analyzing and developing program scripts to extract, reformat and analyze datasets and data flow in R, Python, SAS, and / or SQL
• Planning and developing strategic goals and overall activities for research projects independently as well as collaboratively
• Writing research summaries for reporting purposes for a range of stakeholders and audiences
• Creating and producing visual images for scientific data and research reports / dashboards
• Conducting literature reviews
• Developing content for and leading workshops and presentations

Essential Qualifications :

Assets (Nonessential) :

To be successful in this role you will be :

Closing Date : 02 / 24 / 2025, 11 : 59PM ET

Employee Group : USW

Appointment Type : Budget - Continuing

Schedule : Full-Time

Pay Scale Group & Hiring Zone :

USW Pay Band 13 $84,813. with an annual step progression to a maximum of $108,463. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation / Pay Equity Maintenance Protocol.

Job Category : Administrative / Managerial

Recruiter : Anita Chooraman

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.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http : / / uoft.me / UP .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact [email protected] .

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