Teaching Assistant – Data Analytics Program

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

  .