Data Analytics Adjunct: Flexible On-Campus Teaching

Gateway Technical College

Kenosha (WI)

On-site

USD 61,992 - 70,257

Part time

14 days+

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Job summary

Gateway Technical College invites applicants for an Adjunct Instructor, Data Analytics (BWS) to deliver on-campus data analytics courses, guide students and support workforce-ready skills. Courses are assigned by department needs, with flexible day/evening/weekend hours and traditional face-to-face format.

Minimum qualifications include a Bachelor's in CS/IS/Tech or an Associate in Data Analytics with relevant work hours; and substantial recent occupational experience or teaching experience.

Qualifications

  • Bachelor’s degree in Computer Science, Management Information Systems, Information Systems/Technology, Management Computer Systems, Programming, Software Development, Data Analytics or Artificial Intelligence with 2+ years or 4,000 hours of verified occupational experience.
  • Associate degree in Data Analytics with 4+ years or 8,000 hours of verified occupational experience.
  • At least 2,000 hours of verified occupational experience within the last five years OR two years of full-time postsecondary teaching experience in the last five years.

Responsibilities

  • Plan and deliver instruction that fulfills curriculum goals and objectives.
  • Prepare course syllabi with requirements, attendance and grading criteria.
  • Adhere to class schedules and maintain attendance standards.
  • Assess student progress and provide advising and support.
  • Ensure confidentiality of student matters.
  • Contribute to college community through meetings and program promotion.

Skills

Data analytics
Plan instruction
Assess student progress
Adaptability
Verbal & written communication
Student support

Education

Bachelor’s degree in CS/IS/IT/AI related fields
Associate degree in Data Analytics

Job description

Gateway Technical College invites applicants for an Adjunct Instructor, Data Analytics (BWS) to deliver on-campus data analytics courses, guide students and support workforce-ready skills. Courses are assigned by department needs, with flexible day/evening/weekend hours and traditional face-to-face format.

Minimum qualifications include a Bachelor's in CS/IS/Tech or an Associate in Data Analytics with relevant work hours; and substantial recent occupational experience or teaching experience.

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