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