Data and Information Analyst
Date Posted : 11 / 15 / 2024
Req ID : 40697
Faculty / Division : UofT Mississauga
Department : UTM : Ofc of the Vice President & Principal
Campus : University of Toronto Mississauga (UTM)
Position Number : 00042066
Description : About us :
U of T Mississauga—the second largest campus of Canada’s top-ranked university and the only research university in Ontario’s booming Peel Region—is one of the world’s great catalysts of human potential.
Our employee community hums with the energy of 3,400 faculty, librarians and staff, who power our campus with curiosity, connection and care. We work together to spark life-changing research and innovation, make an indelible mark on the world by building equitable cities and societies, enable healthy lives, create a sustainable future and ignite entrepreneurship. Above all, we prioritize student success, and seek to give our 16,500 students the lift of a lifetime through learning and discovery. We love to open opportunities available nowhere else for our community to achieve their ambitions and make their unique contributions to Canada and the world.
This work all comes together on a spectacularly green campus, alongside the Missinihe-ziibi (Trusting Creek or Credit River), where we seek to honour truth, reciprocity and reconciliation on the traditional land of the Huron-Wendat, Seneca and the Mississaugas of the Credit First Nation. We’re thrilled to welcome those who want to learn more about us and to be part of what we do .
Your opportunity :
The divisional research, analysis and assessment team of the Office of the Vice-President and Principal at UTM conducts data analyses, investigations, research and assessment projects to provide reliable data and meaningful analyses that support data-informed planning, decision-making and continuous improvement at all levels of the university.
Under the general supervision of the Assistant Director, Divisional Research, Analysis, and Assessment, you will work to design and coordinate the development of complex statistical analyses that inform critical divisional initiatives undertaken by the Office of the Vice-President and Principal and enable senior leaders to make strategic academic and business-related decisions. Through the use of data analyses, data visualization tools, and process reviews, our team strives to provide support and informative analytics on procedures, policies and programming to ensure that activities advance UTM’s goals with respect to recruitment strategies, enrolment management plans, department program evaluations and development, and financial plans, etc.
You will participate in writing high-quality reports that convey the information derived from these analyses to a broad range of audiences and design presentations of findings. You will work as part of a team to develop relationships with cross-functional units, some of which include Academic Units, Financialand Budget Services, Office of Registrar, Office of the Dean, Student Housing and Residence, Student Services, Facilities Management and Planning, Career Centre, Advancement, EASI, U of T Tableau Community, Planning & Budget Office, Community of Institutional Researchers, UTSC Office of Registrar, etc.
Your responsibilities will include :
Essential Qualifications :
Assets (Nonessential) :
To be successful in this role you will be :
This role is currently eligible for a hybrid work arrangement, pursuant to University policies and guidelines, including but not limited to the University of Toronto’s Alternative Work ArrangementsGuideline
Closing Date : 11 / 26 / 2024, 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
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] .
Job Segment : Database, Data Analyst, Information Systems, Sustainability, Business Intelligence, Technology, Data, Energy