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

Job Details

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

Posting Date

Full Consideration Date

Closing Date

Open Until Filled

Yes

Quick Link for Posting

https://jobs.ccm.edu/postings/1968

Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed to Apply

• Resume
• Cover Letter

Optional Documents

• Transcripts
• Letter of Recommendation
• Curriculum Vitae