"Data Analytics- Workforce Development Instructor (Pooled Position)"

Posting Details

Posting Summary

Position Title
Data Analytics- Workforce Development Instructor (Pooled Position)

Job Category
WFD

Salary Range

Position Type
Instructor

Department
Workforce Development - Instructional

Job 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. Professional designations or certifications in subject matter desired.

Qualifications - 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)

Qualifications - Skills

• Prefer 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.

Posting Detail Information

Posting Number
F204P

Number of Vacancies
6

Open Until Filled
Yes

Quick Link for Posting
https://jobs.ccm.edu/postings/1968

Documents Needed to Apply

Required Documents

1. Resume
2. Cover Letter

Optional Documents

1. Transcripts
2. Letter of Recommendation
3. Curriculum Vitae