Teaching Assistant – Analytics with AI | Part-Time

About the Role

We are looking for a Teaching Assistant – Analytics with AI to support learners throughout their learning journey. You will work closely with faculty and students to provide real-time academic support, clarify concepts, evaluate assignments, and help learners apply analytics concepts through practical problem-solving.

This is a contractual, part-time role , and compensation will be based on the scope of work and deliverables outlined in the MOU.

Schedule

Our programs are designed for working professionals and students, so sessions are primarily scheduled during:

Weekdays: 8:00 PM onwards

Weekends: Flexible availability during the day

Key Responsibilities

Provide real-time support to students during live classes through chat and other communication channels.

Conduct live doubt-clearing sessions and help students understand complex concepts.

Provide 1:1 mentoring to students and assist them with individual learning challenges.

Evaluate assignments, projects, and assessments and provide constructive, actionable feedback .

Help students troubleshoot technical and analytical problems.

Monitor batch progress and learner engagement and identify areas where students may need additional support.

Share learner feedback and observations with the faculty and curriculum team to improve the learning experience.

Support students in applying analytics concepts to practical, real-world problems.

Technical Skills & Subject Knowledge

Candidates should have strong knowledge of Data Analytics and related technologies , with hands-on experience in areas such as:

Data & Analytics Fundamentals

Advanced Excel, including Pivot Tables, Lookups, and data analysis

Data cleaning and data wrangling

Exploratory Data Analysis (EDA)

Statistical analysis

Hypothesis testing

Databases

SQL

Joins, subqueries, and complex queries

Data extraction and manipulation

Programming

Python or R

Data manipulation and analysis

Relevant analytics libraries and frameworks

Data Visualization

Tableau

Power BI

Python libraries such as Pandas, Matplotlib, and Seaborn

Dashboard creation and data storytelling

Additional Knowledge

Fundamentals of Machine Learning

Data-driven problem solving

Data interpretation and insight generation

Working with real-world datasets

Who Can Apply?

We are open to professionals with experience in roles such as:

Data Analyst

Business Analyst

Data Scientist

Analytics Consultant

Other relevant analytics-focused roles

Prior experience in teaching, mentoring, training, or learner support will be an added advantage.

What We’re Looking For

Strong analytical and problem-solving skills

Solid understanding of analytics concepts and tools

Ability to explain technical concepts in a simple and structured manner

Strong communication and interpersonal skills

Patience and a learner-first approach

Ability to handle and resolve multiple student queries

Comfortable working in a remote, part-time environment

Ability to commit to the required weekday evening and weekend schedule