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Job Description
Date Posted: 12/17/2025
Req ID: 46444
Faculty/Division: People Strategy, Equity & Culture
Department: People Strategy, Equity & Culture
Campus: St. George (Downtown Toronto)
Description
Under the general direction of the Manager, HR Research & Reporting, the People Analyst provides a broad range of support to specialized reporting and data automation initiatives impacting HR practices and policies across the University. The incumbent will be responsible for coordinating a wide range of complex reporting and data requests from stakeholders across the University.
Key initiatives include: (a) assisting with ad hoc requests for HR reports by querying and combining data from disparate sources including SAP ECC, SuccessFactors, and ServiceNow with a heavy emphasis on leveraging SpinifexIT for creating custom reports in SAP, (b) maintaining and updating the Division's data and reporting products, (c) development of business intelligence dashboards using tools such as Power BI and Tableau from various HR data sources, (d) automating workflows using tools such as Power Automate, and (e) providing support on data pipeline projects, including testing and data cleanup, often leveraging software solutions such as Azure Data Factory.
The People Analyst will participate in the advancement of projects and undertake initiatives and daily activities within the Division of People Strategy, Equity and Culture that require knowledge of confidential information impacting staff in all employee groups. The role of the People Analyst will continue to evolve, and the individual must be willing to respond to the given priorities of the day and be willing to work cooperatively in a challenging and dynamic environment.
Qualifications Required
I. EDUCATION:
University degree with some postsecondary education in commerce, statistics, computer science, mathematics, human resources management, or acceptable equivalent combination of education and experience.
Ii. Experience
Minimum three (3) years of experience in a Data Analyst, People Analyst, or Business Intelligence role within a heavily unionized, post-secondary environment. Demonstrated experience in:
- Analyzing large human resources datasets from multiple sources and providing data-driven consultation to stakeholders.
- Extracting, combining, and manipulating data from disparate enterprise systems such as SAP ECC, SuccessFactors, and ServiceNow.
- Experience using SpinifexIT to create custom reports in SAP ECC.
- Formulating hypotheses, interpreting complex human resources data results, and effectively communicating actionable insights.
- Experience applying predictive analytics, data mining, or advanced people analytics methodologies.
- Experience working with collective agreements, HR policies, procedures, and processes.
- Experience leading or supporting data projects and initiatives.
Iii. Skills
Advanced proficiency in data visualization and Business Intelligence (BI) tools such as Tableau and Power BI. Expertise includes:
- Proficiency with workflow and process automation solutions like Power Automate.
- Demonstrated experience with ETL/data pipeline tools such as Azure Data Factory (ADF).
- Advanced skills in large-scale spreadsheet/data manipulation software.
- Familiarity with statistical software or programming languages for data analysis (e.g., R, Python, SPSS).
- Exceptional analytical, problem-solving, and advanced research skills.
Iv. Other
Excellent oral and written communication, presentation, interpersonal, organizational and problem solving skills. Ability to handle confidential information, demonstrating tact, diplomacy and judgement. Ability to establish and maintain positive and cooperative working relationships, especially during difficult situations such as a strike. Ability to explain technical concepts and complex regulations to a non-technical audience. Strong customer service orientation. Ability to manage a fluctuating workload, under pressure, and to meet deadlines. Demonstrated initiative and ability to work both independently and within a team environment.
Closing Date: 04/30/2026, 11:59PM ET
Employee Group: Salaried
Personnel Subarea:PM
Appointment Type: Budget - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone: PM 2 -- Hiring Zone: $83,560 - $97,486 -- Broadband Salary Range: $83,560 - $139,264
Job Category: People Strategy, Equity & Culture
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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 uoft.careers@utoronto.ca.
Job Segment: Data Analyst, Data Mining, Testing, Business Intelligence, ERP, Data, Technology
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