Aptitude Trainer

Lovely Professional University; Phagwara; Presencial; INR 400.000 - 650.000; Jornada completa

Descripción de la vacante

Lovely Professional University invites enthusiastic professionals to train and mentor students in Quantitative Aptitude and Logical Reasoning for campus placements, competitive examinations, and career assessments.

You will deliver training, design practice sessions, conduct mock tests, track progress, and provide constructive feedback, while explaining concepts with practical examples to enhance analytical skills.

Formación

• Master's degree in Mathematics, Statistics, Engineering, Management, or a relevant discipline.
• Minimum CGPA 7.00 for those without PEA courses; Grade A in all PEA courses if studied.
• Freshers and candidates with 0-10 years of relevant experience may apply.
• Prior experience in aptitude training, teaching, or placement preparation is preferred.
• Strong conceptual understanding of Quantitative Aptitude and Logical Reasoning is essential.

Responsabilidades

• Deliver training in Quantitative Aptitude and Logical Reasoning.
• Prepare students for placement tests and competitive examinations.
• Design practice sessions, mock tests, assignments, and assessments.
• Develop students' analytical, numerical, logical, and problem-solving skills.
• Mentor students, track progress, and provide constructive feedback.
• Explain complex concepts through effective methods and practical examples.

Conocimientos

Quantitative Aptitude

Logical Reasoning

Teaching & Mentoring

Communication Skills

Educación

Master's degree in Mathematics/Statistics/Engineering/Management

Descripción del empleo

Lovely Professional University invites enthusiastic, result-oriented professionals to train and mentor students in Quantitative Aptitude and Logical Reasoning for campus placements, competitive examinations, and career assessments.

Key Responsibilities

• Deliver training in Quantitative Aptitude and Logical Reasoning.
• Prepare students for placement tests, recruitment assessments, and competitive examinations.
• Design practice sessions, mock tests, assignments, and assessments.
• Develop students' analytical, numerical, logical, and problem-solving skills.
• Mentor students, track their progress, and provide constructive feedback.
• Explain complex concepts through effective methods and practical examples.

Key Skills

• Strong command of Quantitative Aptitude and Logical Reasoning.
• Understanding of placement and competitive examination patterns.
• Excellent communication, presentation, and teaching skills.
• Strong analytical and problem-solving abilities, with the ability to engage and motivate students.

Eligibility

• Master's degree in Mathematics, Statistics, Engineering, Management, or a relevant discipline from a recognized university.
• Candidates who have studied PEA (Professional Enhancement and Analytical Skills) courses during their academic programme must have secured a minimum Grade A in all PEA courses undertaken.
• Candidates who have not studied any PEA courses must have a minimum CGPA of 7.00.
• Freshers and candidates with 0-10 years of relevant experience may apply.
• Prior experience in aptitude training, teaching, or placement preparation is preferred.
• Strong conceptual understanding of Quantitative Aptitude and Logical Reasoning is essential.

Candidates with strong aptitude skills, awareness of examination patterns, effective communication, and a passion for student mentoring are encouraged to apply.