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

Masai; India; Remote; INR 344,000 - 620,000; Part time

Job summary

Masai is seeking a Teaching Assistant – Analytics with AI to support learners throughout their learning journey. You will work with faculty and students to provide real-time academic support, clarify concepts, and help learners apply analytics through practical problem-solving.

This contract, part-time role requires strong Tamil communication, hands-on knowledge of data analytics tools, SQL, Python, Excel, Tableau or Power BI, and a passion for mentoring in a remote setting with weekday evenings

Qualifications

• Experience in data analytics and related technologies.
• Strong Tamil communication skills (verbal and written).
• Ability to explain technical concepts in a simple, structured manner.
• Prior teaching, mentoring, or learner-support experience is a plus.

Responsibilities

• Provide real-time support to students during live classes.
• Conduct live doubt-clearing sessions and explain concepts clearly.
• Offer 1:1 mentoring and assist with individual learning challenges.
• Guide learners in applying analytics concepts to practical problems.
• Evaluate assignments and provide constructive feedback.

Skills

Data Analytics

Teaching/mentoring

Tamil communication

Problem solving

Student support

Tools

SQL

Python

Excel

Tableau

Power BI

Pandas

Matplotlib

Seaborn

Job description

We are looking for aTeaching 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