About the role
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:
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Weekdays: 8:00 PM onwards
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Weekends: Flexible availability during the day
Key Responsibilities
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Provide real-time support to students during live classes through chat and other communication channels.
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Conduct live doubt-clearing sessions and help students understand complex concepts.
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Provide 1:1 mentoring to students and assist them with individual learning challenges.
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Evaluate assignments, projects, and assessments and provide constructive, actionable feedback.
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Help students troubleshoot technical and analytical problems.
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Monitor batch progress and learner engagement and identify areas where students may need additional support.
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Share learner feedback and observations with the faculty and curriculum team to improve the learning experience.
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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
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Advanced Excel, including Pivot Tables, Lookups, and data analysis
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Data cleaning and data wrangling
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Exploratory Data Analysis (EDA)
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Statistical analysis
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Hypothesis testing
Databases
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SQL
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Joins, subqueries, and complex queries
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Data extraction and manipulation
Programming
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Python or R
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Data manipulation and analysis
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Relevant analytics libraries and frameworks
Data Visualization
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Tableau
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Power BI
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Python libraries such as Pandas, Matplotlib, and Seaborn
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Dashboard creation and data storytelling
Additional Knowledge
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Fundamentals of Machine Learning
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Data-driven problem solving
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Data interpretation and insight generation
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Working with real-world datasets
Who Can Apply?
We are open to professionals with experience in roles such as:
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Data Analyst
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Business Analyst
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Data Scientist
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Analytics Consultant
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Other relevant analytics-focused roles
Prior experience in teaching, mentoring, training, or learner support will be an added advantage.
What We’re Looking For
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Strong analytical and problem-solving skills
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Solid understanding of analytics concepts and tools
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Ability to explain technical concepts in a simple and structured manner
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Strong communication and interpersonal skills
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Patience and a learner-first approach
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Ability to handle and resolve multiple student queries
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Comfortable working in a remote, part-time environment
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Ability to commit to the required weekday evening and weekend schedule