APTPUO-Winter 2027
Engineering
VISUALISATION&ANAL.DONNÉES
Neural analysis suggests this role is
optimal for Mid+ candidates.
“VISUALISATION&ANAL. DONNÉES at APTPUO-Winter 2027. Skills: Data analytics, Data visualization, Excel, Power BI. Develop and deliver engaging lectures on data analytics and visualization techniques. Create hands-on exercises using Excel and Power BI”
Industry & Context.
What They're Looking For.
Must Have
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, Communication and interpersonal skills
Nice to Have
Industry experience in data analytics or business intelligence, Familiarity with other data visualization tools (e.g., Tableau, R, Python)
What You'll Do.
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
How You'll Work.
Communication Scope
Communication skills
Full Job Description
**_Posting Reason:_** New Position ** _Location:_** Main Campus ** _Academic Period:_** 2027 Winter Semester _**Faculty:**_ Faculté de génie / Faculty of Engineering ** _Academic Unit:_** École de conception et d’innovation pédagogique en génie \\\ School of Engineering Design and Teaching Innovation _**Course Title:**_ VISUALISATION&ANAL.DONNÉES _**Course Code:**_ SED1516 _**Section:**_ A _**Course 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 à temps-partiel régulier / Regular Part-Time Professor _**Date Posted (YYYY/MM/DD):**_ 2026/05/20 _**Applications must be received******BEFORE******(YYYY/MM/DD):**_ 2026/06/21 _**Expected Enrolment:**_ 77 _**Approval date:**_ 2026/05/20 _**Number of credits:**_ 3 _**Work Hours:**_ 39 ** _Hourly 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:**_ B _**Posting type:**_ Régulier / Regular _**Language of instruction:**_ Français | French _**Competence in second language:**_ Passive _**Course 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 a
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