On a mission to make tech careers accessible to everyone, no matter their financial or educational backgrounds.

Masai

We are looking for a&nbsp;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.
Language: Tamil
Schedule
Our programs are designed for working professionals and students, so sessions are primarily scheduled during:
<ul>
<li>
Weekdays: 8:00 PM onwards
</li>
<li>
Weekends: Flexible availability during the day
</li>
</ul>
Key ResponsibilitiesTeaching &amp; Learner Support
<ul>
<li>
Provide real-time support to students during live classes through chat and other communication channels.
</li>
<li>
Conduct live doubt-clearing sessions and help students understand complex concepts.
</li>
<li>
Provide 1:1 mentoring and assist learners with individual learning challenges.
</li>
<li>
Explain technical and analytical concepts in a simple and structured manner.
</li>
<li>
Support students in applying analytics concepts to practical, real-world problems.
</li>
</ul>
Assignment &amp; Technical Support
<ul>
<li>
Evaluate assignments, projects, and assessments and provide constructive, actionable feedback.
</li>
<li>
Help students troubleshoot technical and analytical problems.
</li>
<li>
Guide learners through data analysis, SQL, Python, visualization, and statistical concepts.
</li>
<li>
Help students work with real-world datasets and develop data-driven solutions.
</li>
</ul>
Learner Engagement
<ul>
<li>
Monitor batch progress and learner engagement and identify areas where students may need additional support.
</li>
<li>
Share learner feedback and observations with the faculty and curriculum team.
</li>
<li>
Help learners overcome technical and conceptual blockers.
</li>
<li>
Contribute to improving the overall learning experience.
</li>
</ul>
Technical Skills &amp; Subject Knowledge
Candidates should have strong knowledge of Data Analytics and related technologies, with hands-on experience in areas such as:
Data &amp; Analytics Fundamentals
<ul>
<li>
Advanced Excel, including Pivot Tables, Lookups, and data analysis
</li>
<li>
Data cleaning and data wrangling
</li>
<li>
Exploratory Data Analysis (EDA)
</li>
<li>
Statistical analysis
</li>
<li>
Hypothesis testing
</li>
</ul>
Databases
<ul>
<li>
SQL
</li>
<li>
Joins, subqueries, and complex queries
</li>
<li>
Data extraction and manipulation
</li>
</ul>
Programming
<ul>
<li>
Python or R
</li>
<li>
Data manipulation and analysis
</li>
<li>
Relevant analytics libraries and frameworks
</li>
</ul>
Data Visualization
<ul>
<li>
Tableau
</li>
<li>
Power BI
</li>
<li>
Python libraries such as Pandas, Matplotlib, and Seaborn
</li>
<li>
Dashboard creation and data storytelling
</li>
</ul>
Additional Knowledge
<ul>
<li>
Fundamentals of Machine Learning
</li>
<li>
Data-driven problem solving
</li>
<li>
Data interpretation and insight generation
</li>
<li>
Working with real-world datasets
</li>
</ul>
Who Can Apply?
We are open to professionals with experience in roles such as:
<ul>
<li>
Data Analyst
</li>
<li>
Business Analyst
</li>
<li>
Data Scientist
</li>
<li>
Analytics Consultant
</li>
<li>
Other relevant analytics-focused roles
</li>
</ul>
Prior experience in teaching, mentoring, training, or learner support will be an added advantage.
What We’re Looking For
<ul>
<li>
Strong analytical and problem-solving skills
</li>
<li>
Solid understanding of analytics concepts and tools
</li>
<li>
Ability to explain technical concepts in a simple and structured manner
</li>
<li>
Strong Tamil communication skills — verbal and written
</li>
<li>
Strong communication and interpersonal skills
</li>
<li>
Patience and a learner-first approach
</li>
<li>
Ability to handle and resolve multiple student queries
</li>
<li>
Comfortable working in a remote, part-time environment
</li>
<li>
Ability to commit to the required weekday evening and weekend schedule
</li>
</ul>