Description
of tasks (hours):
Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.
Recherche / Research:0Préparation / Preparation:0Contact avec étudiants / Contact with Students:24Correction - Notation / Grading:78Surveillance / Proctoring:0Formation / Training:0Autre / Other:0
Number of positions:
1
Expected Enrolment:
n/a
Work Start Date:
September 01, 2026
Work End Date:
April 30, 2027
Total Work Hours:
102
Hourly Rate:
AE-RA-Tuteur / TA-RA-Tutor : $31.89 ou/or $50.25 (2024-2025)
The academic year starts on September 1 and ends on August 31.
Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Language of Work:
Anglais | English
Requirements and Nature of Work:
Minimum requirments
Must be a Ph.D. student (or holding Ph.D. - preferred) in Management in an area directly related to data analysis and must demonstrate recent relevant and substantial managerial or professional training experience in the area of the course (normally over 5 years), with the strong evidence of management and leadership responsibilities and career progression. A preferred candidate should have substantial experience in teaching and/or teaching assistance of an MBA Data Analysis course (like MBA5300, MBA 5100, MBA5101, etc.) High knowledge of Excel is required.
Experience with Brightspace
Experience with online course delivery
Experience with online videoconferencing environment (ex. Microsoft Teams)
Nature of work
Deliver practical Excel labs – instruct virtually
Assess assignments, cases, projects
Assist with virtual exams
Communicate with students regarding assignments and respond to the related questions
Correction of deliverables including assignments, case studies and part of final
Labs
Comments
Candidates on short list may be interviewed by course professor/coordinator.
Qualified applicants will be required to do a written examination and earn a minimum of 80%.
Please note that the posted hours could be increased due to registration.
Please note, you will be required to have access to a computer, internet, microphone and webcam.
Please note that the teaching method will be delivered in the following : in person. It is possible that the teaching or work method will change due to health measures or other reasons.
Contract hours may be reallocated among different tasks, which the professor may adjust over the course of the semester.
Must be located in Ottawa for the entire duration of the course (with the exception of official University holidays), including through the grading of the final exam and calculation of final grades by the professor.
Additional Information and/or Comments:
All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law.