TA383720- Fall 2026-BUS*6440*EL02 Business Analytics

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
LANG Executive Programs
Semester(s) of Assignment(s): 
Fall 2026
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
N/A
Course Details
Course Number: 
BUS*6440*EL02
Course Name: 
Business Analytics
Course Format: 
Other
Course Description: 
See Course Calendar
Other Course Description or Assignment Information: 
This course (section EL02) runs online from October 26, 2026 - December 13, 2026 with grades due within 2 weeks thereafter. This course is a part of the online MBA program.
Projected Class Enrolment: 
60
Level of Appointment for GTA, GSA-1 UTA(s)
The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.
This Posting includes Multiple Work Assignments: 
No
Number of Available 0.25 (35 hour) Work Assignments: 
0
Number of Available 0.5 (70 hour) Work Assignments: 
1
Number of Available 0.75 (105 hour) Work Assignments: 
0
Number of Available Full 1.0 (140 hour) Work Assignments: 
0
Total Number (Load) of Assignment(s) Available: 
1
Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Preparation
Student Consultation
Email Correspondence/Monitoring
Meetings
Grading
Other Duties Described: 
This course (section EL02) runs online from October 26, 2026 - December 13, 2026 with grades due within 2 weeks thereafter. This course is a part of the online MBA program.
Qualifications
Required Qualifications: 
PhD student. Knowledge of business analytics and quantitative research methods. Proficiency in Microsoft Excel (e.g., pivot tables, charts, formulas, basic data analysis). Successful completion of a graduate-level Business Analytics course (minimum grade of 80%). Strong written and verbal communication skills. Ability to hold regular office hours (via Teams) and provide constructive feedback to students.
Preferred Qualifications: 
Familiarity with research design, including developing research questions, hypotheses, identifying appropriate data sources, sampling, and basic analytical approaches. Previous grading experience is desirable; knowledge of Tableau is desirable. Successful prior GTA experience with Lang Professional Programs course(s).
Days Required and Wages
Days and Times Required: 
This course (section EL02) runs online from October 26, 2026 - December 13, 2026 with grades due within 2 weeks thereafter. This course is a part of the online MBA program.
Period of the Work Assignment (Start Date and End Date): 
October 26, 2026 to December 28, 2026
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): 
GTA $49.43/hr; $6,924.98/semester effective 2025/26
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Friday, July 24, 2026
Posting Email Contact: 
execpost@uoguelph.ca
Hiring Contact Information: 
Dr. Cris Bravo Monge, cbravomo@uoguelph.ca

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.