Teaching Assistant Data Analytics Program

Data Analytics Assistant Faculty

Organization: Physics Wallah (PW)

Department: Academics – Data Analytics

Locations:Lucknow | Patna | Janakpuri

Employment Type: Full-Time

About the Role

PhysicsWallah is looking for passionate and academically driven professionals to join our Data Analytics team as Assistant Faculty (Teaching Assistant). The role involves supporting faculty members in delivering high-quality learning experiences, mentoring students, conducting doubt-solving sessions, evaluating assessments, and contributing to academic content development.

Key Responsibilities

Academic Support

• Assist faculty members during classroom and practical sessions.
• Conduct doubt-solving and revision sessions for students.
• Mentor students on assignments, projects, and assessments.
• Monitor student performance and provide academic guidance.

Content Development

• Create and review assignments, quizzes, assessments, and question banks.
• Assist in developing presentations, case studies, and learning materials.
• Ensure content quality and alignment with curriculum objectives.

Assessment & Evaluation

• Evaluate assignments, projects, and examinations.
• Maintain student performance records and academic reports.
• Support examination and assessment-related activities.

Academic Operations

• Coordinate with academic and operations teams for seamless program delivery.
• Support curriculum enhancement and quality assurance initiatives.
• Assist in maintaining academic documentation and reports.

Required Skills

• Excel
• SQLPython Basics for Analytics
• Power BI / Tableau
• Data Cleaning & Visualization
• Business Analytics
• Dashboarding & Reporting
• Statistics Basics
• Generative AI in Data Analytics

Qualifications

Bachelor's or Master's degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Engineering, MBA or a related field.

Preferred Experience

• 0–3 years of experience in Teaching, Training, Data Analytics, Business Analytics, Data Science, or Academic Mentoring.
• Freshers with strong subject knowledge and excellent communication skills are encouraged to apply.

• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to explain technical concepts effectively.
• Student-centric mindset and mentoring capability.
• Strong collaboration and teamwork skills.