Data Analytics- Workforce Development Instructor (Pooled Position)

County College of Morris (Cc M)

Randolph Township (NJ)

Hybrid

USD 40,000 - 70,000

Part time

33 hours ago

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Job summary

County College of Morris in Randolph, NJ seeks a Data Analytics - Workforce Development Instructor (Pooled Position) to deliver non-credit courses on statistics, Excel, R and Python, Tableau, Power BI, machine learning and related topics.

The instructor will create and teach courses in their subject area, adapt schedules to day, evening or weekend offerings, and support adult learners with practical, career-focused training.

Qualifications

Bachelor’s degree in a quantitative STEM field; CS/Statistics preferred.
3+ years in business/corporate environment with advanced software use.
Proficiency in R and/or Python for data analysis.
Knowledge of statistics and data analytics theory and application.
Experience delivering training to adult learners preferred.
Familiarity with video conferencing tools (Zoom).

Responsibilities

Instruct non-credit data analytics courses across topics listed.
Develop and deliver courses in data analytics and related tools.
Create syllabi and assessments; teach adult learners.
Schedule classes including day, evening, or weekend sessions.
Utilize Zoom for remote instruction.

Skills

Teaching experience

Communication skills

Industry certification

Education

Bachelor’s degree in quantitative field

Tools

Python

Job description

Career Opportunities at County College of Morris

Data Analytics- Workforce Development Instructor (Pooled Position)

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