Finance and HR Research Analyst

Toronto, ON, CA

University of Toronto

The University of Toronto is a globally top-ranked public research university in Toronto, Ontario, Canada.

View all jobs at University of Toronto

Apply now Apply later

Date Posted: 07/09/2024
Req ID: 38613
Faculty/Division: Faculty of Arts & Science
Department: ARTSC: Ofc of the Dean
Campus: St. George (Downtown Toronto)



About us:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.

We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

Your opportunity:

Under the general direction of the Director, Planning, Data & Analysis, the incumbent provides
business intelligence solutions to support Human Resources and Research initiatives at the Faculty of Arts & Science. The incumbent will utilize these business intelligence solutions to optimize financial planning and monitoring of the Faculty's expenditures. The incumbent will engage clients to understand business needs and translate requirements into institutional datasets, reporting and analytics products that generate insights for the Faculty’s performance and resource allocations. These applicationswill require a variety of technical skills including SQL, Python, and R, or SAS, as well as visualization technologies such as Tableau and PowerBI. The incumbent will work closely with colleagues within the larger Data Team, the Office of Budgeting, Planning, and Finance, the Academic Human Resources Department and the Administrative Human Resources Department within the Faculty of Arts & Science to operationalize data and analytics products.

Your responsibilities will include:


  • Overseeing the financial management of budgets that include strategic planning, analysis and forecasting beyond a department level
  • Analyzing complex statistical reports and/or financial information for management decision-making
  • Providing advice and data to support the development of business cases and analytics for departmental initiatives
  • Analyzing data and trends to recommend strategic sourcing
  • Delivering presentations on financial data and models to clients and/or senior management
  • Determining key performance indicators to measure success
  • Developing task schedules in concert with project schedules
  • Planning components of projects


Essential Qualifications:



  • Bachelor's Degree in HR, Business, or Data Analytics and a Certified Human Resources Professional Designation or acceptable combination of equivalent experience.
  • Minimum five years experience in providing development and design expertise in working with human resources and financial data analytics projects.
  • Working experience in Human Resources with a focus on HR analytics, and/or statistical analysis.
  • Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
  • Working and conceptual knowledge of building and maintaining physical and logical data models.
  • Experience researching, developing, and implementing strategies for business development.
  • Experience with leading presentations, meetings, and workshops to formulate business and financial requirements.
  • Experience researching and creating performance indicators for financial resource allocation.
  • Experience with systems design to capture and translate ideas into workable solutions.
  • Understanding of machine learning capabilities and how to implement models.
  • Strong understanding of agile methodology.
  • Exceptional analytical skills.
  • Ability to develop a strong understanding of Human Resources as it relates to the application of HR best practices and processes for data analysis and leveraging technology.
  • Experience with Big Data cloud solutions such as Microsoft Azure – Data Factory, Data Bricks.
  • Strong presentation skills and storytelling skills.
  • Experience and high fluency in the use of tools including Python, SQL programming skills, Tableau and/or PowerBI development.
  • Familiarity with HRIS (Human Resources Information System) and HR-related data sources.
  • Excellent problem-solving skills and the ability to translate business questions into data-driven solutions.
  • Strong communication skills with the ability to explain complex technicalconcepts to non-technical audiences.
  • Knowledge of HR processes, policies, and industry trends is highly desirable.

Assets (Nonessential):



  • A MBA or a Master of Statistics would be an asset.

To be successful in this role you will be:



  • Articulate
  • Cooperative
  • Multi-tasker
  • Perceptive
  • Persuasive
  • Problem solver
  • Team player


Internal applicants may request a copy of the job description by emailing
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 Arrangements Guideline.


Closing Date: 07/23/2024, 11:59PM ET
Employee Group: USW 
Appointment Type: Budget - Continuing 
Schedule: Full-Time
Pay Scale Group & Hiring Zone:  
USW Pay Band 16 -- $99,548 with an annual step progression to a maximum of $127,305. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol. 
Job Category: Finance/Budget/Planning/Audit

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.

Apply now Apply later
  • Share this job via
  • or
Job stats:  5  1  0

Tags: Agile Azure Big Data Business Intelligence Data analysis Data Analytics Databricks Finance Machine Learning Power BI Python R Research SAS SQL Statistics Tableau Teaching

Perks/benefits: Career development

Region: North America
Country: Canada

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.