QA DI LR Faculty - Ghaziabad

Toprankers; Ghaziabad District; On-site; INR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary and incentives

Content and LMS support

Career growth in academic leadership

Exposure to multiple entrance exams

Job summary

Toprankers in Ghaziabad is seeking a passionate Quantitative Aptitude (QA) and Data Interpretation & Logical Reasoning (DI-LR) Faculty to mentor students preparing for CAT, IPMAT and CLAT.

Deliver high-quality classroom and online sessions, simplify concepts, track progress, and guide exam strategy. Join a fast-growing EdTech with strong content support, seminars, and opportunities across academic leadership.

Qualifications

• Bachelor's Degree in Engineering, Mathematics, Statistics, Commerce or any related discipline.
• MBA or candidates with strong aptitude backgrounds will be preferred.
• 2–6 years of teaching experience in CAT, IPMAT, CLAT, CUET or other aptitude-based examinations.
• Freshers with exceptional aptitude scores and teaching ability may also be considered.

Responsibilities

• Deliver high-quality classroom and online sessions for Quantitative Aptitude, Data Interpretation and Logical Reasoning.
• Teach students preparing for CAT, IPMAT, CLAT and other aptitude-based examinations.
• Simplify complex concepts and develop strong problem-solving abilities among students.
• Maintain excellent classroom engagement and learning outcomes.

Skills

Quantitative Aptitude

Data Interpretation

Logical Reasoning

Education

Bachelor's Degree in Engineering, Mathematics, Statistics, Commerce

MBA

Tools

LMS

Job description

About Toprankers

Toprankers is one of India's leading career-prep EdTech organizations focused on careers beyond Engineering and Medical. Through brands such as LegalEdge, SuperGrads, Judiciary Gold and Creative Edge, we help students prepare for competitive examinations including CLAT, IPMAT, CAT, Judiciary, CUET and Design entrance exams.

About Toprankers

Toprankers is one of India's leading career-prep EdTech organizations focused on careers beyond Engineering and Medical. Through brands such as LegalEdge, SuperGrads, Judiciary Gold and Creative Edge, we help students prepare for competitive examinations including CLAT, IPMAT, CAT, Judiciary, CUET and Design entrance exams.

We are looking for a passionate and result-oriented Quantitative Aptitude (QA) and Data Interpretation & Logical Reasoning (DI-LR) Faculty to mentor students preparing for CAT, IPMAT and CLAT examinations.

Key Responsibilities

Academic Delivery

• Deliver high-quality classroom and online sessions for Quantitative Aptitude, Data Interpretation and Logical Reasoning.
• Teach students preparing for CAT, IPMAT, CLAT and other aptitude-based examinations.
• Simplify complex concepts and develop strong problem-solving abilities among students.
• Maintain excellent classroom engagement and learning outcomes.

Student Mentorship

• Conduct doubt-solving sessions and one-on-one mentoring.
• Track student performance and provide personalized improvement plans.
• Guide students on exam strategy, time management and test-taking techniques.

Academic Quality & Process

• Analyze mock test performance and identify learning gaps.
• Collaborate with the central academic team to improve curriculum and pedagogy.
• Ensure timely completion of syllabus and academic deliverables.
• Participate in faculty training, workshops and academic reviews.

Brand Building

• Conduct seminars, workshops and academic webinars.
• Represent Toprankers at school visits, outreach events and student engagement programs when required.

Desired Candidate Profile

Educational Qualification

• Bachelor's Degree in Engineering, Mathematics, Statistics, Commerce or any related discipline.
• MBA or candidates with strong aptitude backgrounds will be preferred.

Experience

• 2–6 years of teaching experience in CAT, IPMAT, CLAT, CUET or other aptitude-based examinations.
• Freshers with exceptional aptitude scores and teaching ability may also be considered.

Essential Skills

• Strong command over Quantitative Aptitude.
• Excellent understanding of Data Interpretation and Logical Reasoning.
• Ability to teach students across varying learning levels.
• Strong communication, presentation and classroom management skills.
• Proficiency in both offline and online teaching methodologies.

Preferred

• Prior experience in CAT/IPMAT coaching.
• Consistent record of student selections and academic outcomes.
• Experience in content development and mock test creation.
• Comfortable using digital teaching platforms and LMS tools.

Key Performance Indicators (KPIs)

• Student feedback scores.
• Batch retention and engagement levels.
• Academic outcomes and student selections.
• Content development contributions.
• Timely completion of syllabus and academic deliverables.
• Participation in workshops, seminars and mentoring initiatives.

What We Offer

• Opportunity to work with one of India's fastest-growing education companies.
• Exposure to multiple aptitude examinations (CAT, IPMAT, CLAT).
• Strong academic ecosystem and content support.
• Career growth opportunities across academic leadership roles.
• Competitive compensation and performance-linked incentives.