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
Masai Sas
On a mission to make tech careers accessible to everyone, no matter their financial or educational backgrounds.
Read more about the company
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