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Teaching Assistant Data Analytics 21

Job Description

*This posting is to hire Teaching Assistants to support our Amazon Data Analytics 21.0 cohort. The Data Analytics program will run from Tuesday, Mar 24, 2026 to Thursday, September 3, 2026. Live lectures Sessions will take place Tuesdays and Thursdays from 12PM - 2PM ET.* *Daylight Savings Time might affect these hours

Correlation One develops workforce skills for the AI economy

Enterprises and governments work with us to develop talent and close critical data, digital, and technology skills gaps. Our global programs, including training programs and data competitions, also empower underrepresented communities and accelerate careers.

Our mission is to create equal access to the data-driven jobs of the future. We partner with top employers and government organizations to make that a reality, including Amazon, Coca-Cola, Johnson & Johnson, USAID, the U.S. State Department, and the U.S. Department of Defense.

Our skills training programs are 100% free for learners and are delivered virtually by industry experts to minimize traditional barriers to career advancement. We take pride in fostering supportive, human-led, group learning environments that build technical proficiency and confidence in participants.

Join us and let’s shape the AI Economy together!

Program Details

  • The Data Analytics program will run from Tuesday, Mar 24, 2026 to Thursday, September 3, 2026. Live lectures Sessions will take place Tuesdays and Thursdays from 12PM - 2PM ET.  *Daylight Savings Time might affect these hours

A day in the life

Onboarding (Pre-Program):

We will host a live onboarding session, where we will walk through the program elements, set you up on our platforms, and ensure that you are prepared to support our Amazon learners effectively before the program launches.

All training materials will be provided in advance of, during, and after onboarding sessions.

Key Responsibilities:

Expectations during live (synchronous) sessions:

  • Attend and proactively engage in the mandatory Pre-Program TA Onboarding. Dates and times will be announced.
  • Monitor appropriate Slack channels (#c1-TA, #live-chat, #extra-help, and other relevant channels) for learner questions and answer them promptly.
  • Check-in with learners after each live session by asking how they’re feeling about the content, if they have any questions, or if there is anything that they need further clarity.
  • Facilitate breakout rooms during lecture time, when applicable.
  • Assist in keeping the session progressing should the Lead Instructor experience technical difficulty or is otherwise unable to deliver the lecture.

Expectations during days of no live sessions:

  • Monitor appropriate Slack channels for learner questions and answer them within 24 hours.
  • Foster discussion by posing questions of your own and sharing relevant links in the #resources channel or in other appropriate Slack channels.
  • Use the #c1-TA channel to share any important information during a lecture that needs the attention of Correlation One staff or fellow Expert Network staff.
  • Review content materials (including lab, projects, extended cases, etc..) for the next lecture to ensure you are prepared to answer Learner questions.
  • Hold up to six (6) Individual Office Hours per week with learners in the program so they can ask any additional questions or get support as necessary.
  • Grade Learner submissions of exercises and projects within seven (7) days of submission.
  • Video walkthroughs for asynchronous assignments, such as extended cases and portfolio tasks.
  • Support continuous program improvement by providing thoughtful feedback to Correlation One team via Weekly Write Ups.
  • Submit weekly write-ups summarizing the week’s accomplishments and challenges and provide insights on each learner. In addition to potential improvements.
  • Attend and participate in the weekly staff meeting with Correlation One team and other Expert Network staff.
  • Attend all scheduled meetings with your camera on, ensuring active engagement and professional presence.

Who you are

  • Data Analytics professional with exceptional leadership, communication, collaboration, and organizational skills.

  • Empathy, flexibility, patience; passion for working with diverse learners who are new to data analytics content.

  • Experience operating in a fully virtual environment.

  • Excellent written and spoken English language skills.

  • Working experience with the following technical skills/platforms:

    • Microsoft Excel
    • Tableau
    • SQL
    • Python
    • Zoom
    • Slack
  • Prior teaching experience with adult learners is a plus

Compensation

  • The compensation for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions. These factors include (but are not limited to) location, experience, education and skill sets.

Correlation One’s Commitment

Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.  We encourage applicants to bring their unique skills, experiences, and outlook to our work environment.

Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].

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