Assistant Professor, Business Analytics

MacEwan International; Edmonton; On-site; CAD 90,000 - 120,000; Full time

Job summary

MacEwan University invites applications for an entry-level, full-time, tenure-track Assistant Professor position in Business Analytics, commencing July 1, 2027. Primary duties include teaching undergraduate courses in business intelligence, management science, and information systems, with a focus on applying analytical methods and technologies to business problems.

The successful candidate will contribute to an active research program in business analytics or related fields, develop new

Qualifications

• Evidence of teaching experience and potential.
• A current or near-complete research program in business analytics or related field.
• Expertise in analytical programming and tools (Python/R, SQL, Power BI/Tableau).

Responsibilities

• Teach undergraduate courses in business intelligence, management science, and information systems.
• Help develop additional courses in analytics.
• Build industry relations and promote the student co-op program.

Skills

Teaching experience

Research potential

Industry relations

Education

Terminal degree in Business Analytics or related field

Tools

Python

R

SQL

Power BI

Tableau

Job description

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 Date

Full-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 Us

MacEwan 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, MacEwan is known for exceptional undergraduate learning. With its dedication to teaching excellence, informed by scholarly research, innovation, and creative activity, MacEwan provides an exceptional collaborative and supportive learning environment with a commitment to human rights, environmental sustainability, and opportunities for community engagement. We are committed to creating an equitable, diverse, inclusive, and welcoming community for all peoples, cultures, and identities.
Our comprehensive undergraduate university offers 55 programs to more than 21,000 full- and part-time students in business, communications, community and human services, design, fine and performing arts, health, humanities, natural science, nursing, public safety, and social science. Through a wide array of experiential learning opportunities, and strategic relationships in the community, we partner with others to produce graduates of stature. Along with a robust grounding in their chosen disciplines, MacEwan students are given durable life skills that prepare them to take on the world.

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.

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.

Only shortlisted candidates will be contacted by the Department Chair to provide three (3) letters of reference sent directly from referees.

Only selected candidates will be required to submit official transcripts sent directly from the institutions where you completed your degrees.

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

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.

MacEwan University is committed to fostering the principles of equity, diversity, and inclusion within our community, and we are dedicated to removing barriers that have been historically encountered and are currently experienced by some members of our society. We welcome and encourage applications from Indigenous peoples, racialized persons, visible minorities, women, persons with disabilities, sexual and gender minorities, and members of all equity-deserving groups. We believe that the diversity of our students, staff, and faculty serves as a strength of our institution and benefit to society. We are committed to ensuring full and inclusive participation for all in our community.

Accessibility Statement

We strive to provide an inclusive and barrier-free work environment, beginning with the hiring process. If you require accommodation, we want to ensure you have the support you need to showcase your abilities. Please contact [e-mail] and we will support you to the best of our ability.

Personal Information Collection Notification
The personal information collected through MacEwan University’s application for employment and is used to determine your qualifications for employment. If your application progresses to the next stage of the hiring process, this information may be shared with non-HR members of the hiring committee and interview panel. This collection is authorized by section 4(c) of the Protection of Privacy Act. For questions about the collection of personal information, contact Human Resources at [e-mail] or phone [phone].