APTPUO-Winter 2027 - SED1516 (repost)
CA$239.47/hr
Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... We are seeking a part-time professor to teach a course in an introduction data analytics and ...
APTPUO-Winter 2027 - SED1516 (repost)
CA$239.47/hr
Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... We are seeking a part-time professor to teach a course in an introduction data analytics and ...
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CA$239.47/hr
Part-time
PTO
Posted 7 days ago
Job description
Posting Reason:
New PositionLocation:
Main CampusAcademic Period:
2027 Winter SemesterFaculty:
Faculte de genie / Faculty of EngineeringAcademic Unit:
Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching InnovationCourse Title:
VISUALISATION&ANAL.DONNEESCourse Code:
SED1516Section:
ACourse Description:
We are seeking a part-time professor to teach a course in an introduction data analytics and visualizations for students in the Bachelors of Multidisciplinary Design program in the Faculty of Engineering, with a focus on Excel and Power BI.Responsibilities:
Develop and deliver engaging lectures on data analytics and visualization techniques
Create hands-on exercises using Excel and Power BI
Assess student performance through assignments and projects
Provide constructive feedback to support student learning
Hold office hours to assist students outside of class time
Posting limited to:
Professeur a temps-partiel regulier / Regular Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/05/20Applications must be received BEFORE (YYYY/MM/DD):
2026/08/23Expected Enrolment:
77Approval date:
2026/07/22Number of credits:
3Work Hours:
39Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31.
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.
Course type:
BPosting type:
Regulier / RegularLanguage of instruction:
Francais | FrenchCompetence in second language:
PassiveCourse Schedule:
Mardi | Tuesday 13:00-14:30 Jeudi | Thursday 11:30-13:00 -Requirements:
- Master's degree or higher in Data Science, Statistics, or related field
- Fluency in French (written and spoken)
- Proven teaching experience at the post-secondary level
- Extensive knowledge of data analytics and visualization principles
- Knowledgeable in statistics.
- Skilled in databases manipulation and database structures
- Comfortable navigating multiple open data sources.
- Proficiency in Excel and Power BI
- Strong communication and interpersonal skills
Preferred Qualifications:
- Industry experience in data analytics or business intelligence
Familiarity with other data visualization tools (e.g., Tableau, R, Python
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.