Teaching Assistant – Data Analytics Program

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Job Type

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Job Description

Teaching Assistant – Data Analytics Program


We are seeking dedicated Teaching Assistants (TAs) for our Data Analytics Offline Programs. As a TA, you will play a vital role in supporting learners throughout their journey—from mastering foundational analytics to applying them in real-world projects. You will work closely with instructors to conduct doubt-clearing sessions, guide hands-on activities, support project development, and create a vibrant, application-driven learning environment.


Key Responsibilities

1. Learner Support and Assistance

  • Conduct regular doubt-clearing sessions covering core topics such as Python, SQL, Excel, Statistics, and Data Visualization (Tableau, Power BI).
  • Organize structured hands-on exercises, data-centric case studies, and analysis challenges using

    real-world datasets

    .
  • Monitor learner progress, identify conceptual gaps, and offer personalized support across analytics topics.
  • Foster an engaging classroom environment by encouraging curiosity, experimentation, and collaboration.

Sub-Goals:

  • Strengthen learner’s understanding in both

    data analysis and business problem-solving

    through practice-oriented sessions.
  • Help students build confidence in handling

    real-world data challenges

    using industry-standard tools.

2. Outcome-Oriented Learning Facilitation

  • Collaborate with instructors to support learners in achieving milestones such as Exploratory Data Analysis (EDA), Dashboard Design, Business

Case Studies, and End-to-End Analytics Projects.

  • Guide learners in developing a strong portfolio demonstrating skills in data analysis, storytelling with data, and decision-making support.
  • Ensure students gain hands-on exposure to tools and techniques widely used in analytics roles.

Sub-Goals:

  • Equip students with practical, in-demand skills for roles such as Data Analyst, Business Analyst.
  • Bridge theoretical knowledge with practical implementation using SQL, Excel, Python, Tableau, and Power BI.

3. Batch Management, Coordination, and Continuous Improvement

  • Maintain batch records, including attendance, learner progress, and project completion tracking.
  • Coordinate with academic and operation teams for seamless batch execution, including scheduling expert sessions and managing resource distribution.
  • Resolve day-to-day operational or technical issues that hinder the learning process.
  • Collaborate in continuously refining teaching methods, integrating feedback for better delivery of analytics concepts.

Sub-Goals:

  • Ensure smooth logistics and academic execution across batches.
  • Contribute actively to improving curriculum effectiveness and learner engagement strategies.

Required Qualifications and Skills

  • Education

    : Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, Business, or related field (or equivalent industry experience).
  • Technical Skills

    : Strong foundation in

    Python, SQL, Excel, Statistics, and data visualization (Tableau, Power BI)

    .
  • Hands-on Experience

    : Experience in working with real datasets, building dashboards, and performing end-to-end data analysis projects.
  • Communication

    : Ability to clearly explain analytical concepts in an engaging and digestible way.
  • Mentorship

    : Passion for teaching and mentoring learners across various stages of their data journey.
  • Collaboration & Time Management

    : Able to balance academic guidance, operational tasks, and team collaboration effectively.

Preferred Qualifications

  • Prior experience in

    mentoring learners or professionals in analytics fields

    .
  • Project or teaching experience in

    business analytics, visualization, or applied data projects

    .
  • Familiarity with collaborative coding (Git/GitHub), cloud-based notebooks (Google Colab), and business reporting practices.
  • Participation in

    case competitions, hackathons, or publication of projects on platforms like Kaggle or GitHub

    .

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