Teaching Assistant: Data Analytics 24 job at London Full Time NEW

Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. As the largest training provider for Amazon Career Choice, and a growing partner to state governments building registered apprenticeship programs, Correlation One sits at the intersection of employer talent needs and scalable workforce training.

We work with Fortune 500 enterprises, federal and state government agencies, and leading employers to close skills gaps in AI, data analytics, cybersecurity, and operations leadership. Our programs produce job-ready graduates who are prepared to contribute from day one.

Program Details

• The Data Analytics program will run from Monday, June 15, 2026 to Wednesday, November 18, 2026. Live lectures will take place Mondays and Wednesdays from 5PM – 7PM GMT/6PM – 8PM CET. *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 Pumble 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.
• If assigned to cover a specific live lecture, be present throughout the lecture and address learner concerns.

Expectations during days of no live sessions:

• Monitor appropriate Pumble 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 Pumble 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
  • Pumble
• 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.

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