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

Job Description - Teaching Assistant - Analytics with AI | Part-Time | Tamil

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.


Language: Tamil


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 ResponsibilitiesTeaching & Learner Support




  • 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 and assist learners with individual learning challenges.




  • Explain technical and analytical concepts in a simple and structured manner.




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




Assignment & Technical Support




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




  • Help students troubleshoot technical and analytical problems.




  • Guide learners through data analysis, SQL, Python, visualization, and statistical concepts.




  • Help students work with real-world datasets and develop data-driven solutions.




Learner Engagement




  • 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.




  • Help learners overcome technical and conceptual blockers.




  • Contribute to improving the overall learning experience.




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 Tamil communication skills — verbal and written




  • 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



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About the Company

Masai Sas

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

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