for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA394619- Fall 2026-BUS644001 Business Analytics

Teaching Assistant Work Assignment

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 Number:

BUS644001

Course Name:

Business Analytics

Course Format:

In-Person

Course Description:

See Course Calendar

Other Course Description or Assignment Information:

This course (section 01) runs in-person from October 26, 2026 - December 13, 2026 with grades due within 2 weeks thereafter. This course has in-person class times in War MEM on Fridays from 2:30pm-5:30pm.

80

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






• Conducting Labs/Seminars


• Meetings


• Grading

Other Duties Described:

This course (section 01) runs in-person from October 26, 2026 - December 13, 2026 with grades due within 2 weeks thereafter. This course has in-person class times in War MEM on Fridays from 2:30pm-5:30pm.

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%).


• Robust 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 01) runs in-person from October 26, 2026 - December 13, 2026 with grades due within 2 weeks thereafter.



This course has in-person class times in War MEM on Fridays from 2:30pm-5:30pm.

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):

(No wage specified)

Other Posting Information

Application Deadline (All postings will automatically expire at 11:59 pm on this day):

Friday, September 18, 2026

Posting Email Contact:

Hiring Contact Information:

Lang Graduate Programs, [email protected]

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: [email protected]).

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