Teaching Assistant - Analytics with AI | Part-Time | Kannada

About the Role

We are looking for a Teaching Assistant – Analytics with AI to support learners throughout their learning journey.

In this role, you will work closely with faculty and learners to provide real-time academic support, clarify concepts, resolve doubts, evaluate assignments and projects, and help learners apply analytics concepts to practical, real-world problems.

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

Schedule & Availability

As our programs are designed for working professionals and students, candidates should be available during:

Weekdays: 8:00 PM onwards

Weekends: Flexible availability during the day

Language: Strong spoken Kannada is mandatory

Key Responsibilities

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

Conduct live doubt-clearing sessions in Kannada .

Explain complex analytics and technical concepts in a simple, structured, and learner-friendly manner.

Provide 1:1 mentoring to learners who require additional academic support.

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

Help learners troubleshoot technical and analytical problems.

Guide learners in applying analytics concepts to practical, real-world scenarios.

Monitor batch progress and learner engagement and identify areas requiring additional support.

Share learner feedback, challenges, and observations with faculty and the curriculum team.

Technical Skills & Subject Knowledge

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

Data & Analytics

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

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

Basics of applying AI to analytics use cases

Who Can Apply?

We welcome 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 simplify and explain technical concepts effectively

Strong spoken Kannada communication skills

Strong communication and interpersonal skills

Patience and a learner-first approach

Ability to manage and resolve multiple learner queries

Comfortable working in a remote, part-time environment

Ability to commit to weekday evening and weekend schedules

Why This Role?

This is an opportunity to use your analytics expertise to directly impact learners by helping them strengthen their concepts, solve real-world problems, and build confidence in applying analytics and AI skills.