Offer summary

Qualifications:

2+ years of professional experience in Business Analytics or Data Analysis., Proficiency in tools such as Excel, SQL, Python/R, and Tableau/Power BI., Solid understanding of data wrangling, visualization, and basic machine learning concepts., Excellent communication and interpersonal skills..

Key responsibilities:

Host weekly doubt-solving sessions to address student queries and clarify concepts.

Provide support across forums, live chats, and emails for learner queries.

Collaborate with the academic team for research on analytics tools and case studies.

Encourage learner engagement through discussions and personalized support.

Job description

Masai, in academic collaboration with a premier institute, is looking for a dynamic and knowledgeable Teaching Assistant (TA) to support its Business Analytics online program. The TA will play a key role in ensuring a high-quality learner experience through academic support, data-driven research, and learner engagement.
This is a part-time role suitable for professionals with strong hands-on experience in data analytics and a passion for guiding aspiring analysts.

Key Responsibilities (KRAs):

Doubt-Solving Sessions:
Host or moderate weekly sessions to address student queries, clarify analytical concepts, and explain real-world business use cases.

Q&A and Discussion Forum Support:
Provide timely, accurate responses to learner queries across forums, live chats, or emails.

Research Support:
Collaborate with the academic team to conduct up-to-date research on analytics tools, industry applications, and case studies to enhance content quality.

Learner Engagement:
Encourage consistent learner participation through discussions, assignment support, and personalized nudges to boost performance.

Content Feedback Loop:
Gather learner feedback and share insights with instructors to continuously improve the learning experience.

Candidate Requirements:

2+ years of professional experience in Business Analytics, Data Analysis, or related domains.
Proficiency in tools and platforms such as Excel, SQL, Python/R, Tableau/Power BI, and statistical analysis methods.
Solid understanding of data wrangling, visualization, exploratory data analysis, and basic machine learning concepts.
Excellent communication and interpersonal skills.
Prior teaching, mentoring, or TA experience is a plus.
Familiarity with online education platforms or LMS tools is an added advantage.
Strong problem-solving ability and a genuine interest in helping learners succeed.

Engagement Details:

Time Commitment: 6 to 8 hours per week
Location: Remote (online)
Compensation:8k to 10k

Why Join Us?

Collaborate with a leading ed-tech innovator (Masai) and a premier academic institute
Mentor the next generation of data-driven business professionals
Stay up-to-date with the evolving analytics landscape
Enjoy flexible, remote work with meaningful impact