Teaching Assistant: Data Analytics

Correlation One develops the workforce’s 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 Data Skills for All (DS4A) 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, U.S. Department of State, 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 January 21, 2025 - July 10, 2025. Live lectures Sessions will take place Tuesdays and Thursdays from  6-8pm GMT / 7-9pm CET / 13:00-15:00 ET

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.

Management and Support (During Program):

• Join us for our program launches, which will take place on the first day of the program. 
• Attend all LIVE lectures, for the training program 
• Provide one hour of “Drop - In Office Hours” per week (1 hour per week)
• Attend the TA Weekly Meeting (1 hour each week)
• If you are unable to attend the TA Weekly meeting please anticipate that you will need to offer an additional Drop In Office Hour for program participants. 
• Be available for 1:1 office hour requests with assigned learners based on availability. You may set these hours within our parameters, for your convenience. (up to max 2 hours per week)
• Complete grading of Fellow’s deliverables (3 hours each week)
• Work with fellow instructors/TAs and the Correlation One team on ways to improve learner experience (Note: you will be paired with a fellow TA to support a cohort of learners)

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

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].