Data Analytics- Workforce Development Instructor (Pooled Position)
Position Summary
Instruct continuing professional education non-credit courses in one or more of the following topics ranging from statistics, Excel, R and/or Python coding, Tableau, data analysis, machine learning, Microsoft Power BI, deep learning, big data, etc. Responsibilities include creating and teaching courses in your area of subject matter expertise. Class schedules may include day, evening or weekends.
Qualifications
Education: Bachelor’s Degree in a Quantitative Science, Technology, Engineering, or Mathematics-related field; Computer Science and Statistics preferred.
Experience: 3+ years’ experience using various software applications in a business/corporate environment at an advanced level. Proficiency in statistical computing and/or programming in R and/or Python. Experience/extensive knowledge in R or Python data analysis. Demonstrated experience/knowledge of Statistics and Data Analytics from both theoretical and applied perspectives. Experience delivering training/teaching to adult learners desired. Corporate training experience helpful. Experience with video conferencing tools (i.e. Zoom).
Skills: Prior post-secondary classroom teaching experience. Excellent communication skills. Industry certification appropriate for course(s) you wish to teach.
Work Hours
Class schedules may include day, evening or weekend schedules. Please specify availability.