Remote Lead Instructor: Data Analytics

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Description:

  • Lead instruction for a cohort of 20-200 employees at leading firms in a live online classroom for the duration of the program, which lasts 16-17 weeks.
  • The instructor will be responsible for leading live lectures and providing learner support through live office hours and asynchronous messaging, such as email or Slack.
  • The role is part-time, remote, and paid, with an approximate weekly commitment of ~4 hours.
  • Live lectures and office hours will take place on weekdays from Monday to Friday, between 9am and 8pm ET.
  • The company is currently adding to its bench of talent for programs running in 2024, with immediate needs for programs from July to October.
  • Learners will complete asynchronous learning modules outside of live classes and will have a Capstone project as their final deliverable.
  • Learners will have varying backgrounds and experience with data and technology.

Requirements:

  • Candidates must have 3-5 years of experience as a data analyst, data scientist, or in a related role.
  • Experience in conveying data-related topics to cross-functional stakeholders is required.
  • Candidates should have experience with data storytelling and data visualization.
  • Experience teaching in a virtual environment is necessary.
  • A technical and application background as a data practitioner is essential.
  • The ability to simplify and explain data concepts and relate them to business objectives is required.
  • Exceptional leadership skills and high organizational abilities are necessary.
  • Professionalism is a must.

Benefits:

  • Compensation for this role is estimated at $300 per lecture.
  • Correlation One is committed to providing equal opportunity for all employees and applicants, ensuring a work environment free of discrimination and harassment.
  • The company strives to provide reasonable accommodations for persons with disabilities to enable access to the hiring process.
About the job
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Salary
$ 300 - 300 USD / hour
Position
Experience level
Technology stack

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