Assistant Professor, Business Analytics - Department of Decision Sciences, Triffo School of Business

Competition Number: 26.10.273

Category: Full-Time Tenure-Track

Salary: Commensurate with qualifications and experience. New hires will normally be placed within the first 8 steps of the Assistant Professor salary table.

Closing Date: A review of applications will begin January 1, 2027, and continue until a suitable candidate is found.

The Department of Decision Sciences in the Triffo School of Business invites applications for an entry-level, full-time, tenure-track appointment in Business Analytics, at the rank of Assistant Professor, commencing July 1, 2027, subject to final budgetary approval.

The Department of Decision Sciences is an interdisciplinary department within the Triffo School of Business with faculty members who specialize in quantitative research methods, business intelligence, supply chain management, operations research, economics, insurance and risk management, data analytics, and decision research. The successful candidate will play a vital role in enhancing the department’s focus on excellence in undergraduate teaching and in conducting high-impact research.

Further information about the department can be found at:

You will teach our existing undergraduate courses in business intelligence, management science, and information systems, and help develop additional courses in this area. Your teaching will emphasize the application of analytical methods and advanced technologies to business problems. Your primary area of research can be aligned with business analytics, management science, decision sciences, or a closely related field. As a faculty member in the discipline, you are expected to be active in building and fostering industry relations and in promoting the student co-op program.

You must have, or be close to completion of, a terminal degree in Business Analytics or a closely related field. You should provide evidence of teaching experience and potential, and an ongoing research stream in business analytics or a closely related field such as management science, decision sciences, applied AI/machine learning/analytics, technology management, or information systems, along with an expertise in analytical programming and tools, such as Python or R, SQL, Power BI or Tableau.

Candidates conducting applied research with industry applications in the Canadian context will be highly desirable.

You will submit a cover letter, curriculum vitae, teaching dossier (including your teaching philosophy and recent teaching evaluations), statement of research interests, and a sample of your research work. In your application, please provide the names and contact details of three referees.

Questions about this opportunity may be addressed to Dr. Rohit Jindal, Chair, Department of Decision Sciences ()

This position is included under the Faculty Association collective agreement

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