Assistant Professor, Business Analytics
Department of Decision Sciences, Triffo School of Business
Competition No. 26.10.273
Competition No. 26.10.273 Posting Date October 27, 2026
Category Closing DateFull-Time Tenure-Track Commensurate with qualifications and experience. New hires will normally be placed within the first 8 steps of the Assistant Professor salary table. A review of applications will begin January 1, 2027, and continue until a suitable candidate is found.
About UsMac Ewan University is where caring faculty help people connect their passions to their future paths. Located in the heart of Edmonton's diverse and dynamic downtown community, and on the traditional lands of Treaty 6 First Nations and homelands of the Métis people, Mac Ewan is known for exceptional undergraduate learning. With its dedication to teaching excellence, informed by scholarly research, innovation, and creative activity, Mac Ewan provides an exceptional collaborative and supportive learning environment with a commitment to human rights, environmental sustainability, and opportunities for community engagement.
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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.
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.
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