PW (PhysicsWallah)
Website:
pw.live
Job details:
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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