Reasoning and Aptitude Trainer

Job Description: Reasoning and Aptitude Trainer

Job Title: Reasoning and Aptitude Trainer
Location: Hubli
Employment Type: Full-time
Qualifications: Graduation/Post Graduation in Mathematics.

Job Summary:

We are seeking a dedicated and experienced Reasoning and Aptitude Trainer to train and mentor students in logical reasoning, quantitative aptitude, and problem-solving skills. The ideal candidate will have a strong grasp of competitive exam patterns and the ability to design engaging training sessions that help learners improve their reasoning abilities and score better in various exams.

Key Responsibilities:

• Design and deliver high-quality training sessions on Reasoning (Logical and Analytical) and Quantitative Aptitude.
• Prepare lesson plans, practice tests, and course materials aligned with the syllabus of Campus Placements.
• Conduct regular assessments, mock tests, and provide performance feedback to students.
• Use innovative teaching methods, including digital tools, to enhance the learning experience.
• Track student progress and modify training plans accordingly.
• Clarify doubts and provide individual support as needed.
• Stay updated on current exam patterns and question trends.
• Coordinate with academic coordinators or program managers to ensure training goals are met.
• Participate in curriculum development and improvement initiatives.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Mathematics, Engineering, Education, or a related field.
• Minimum 2 years of experience in teaching Reasoning and Aptitude for competitive exams or academic purposes.
• Strong command over topics such as Arithmetic, Algebra, Data Interpretation, Puzzles, Syllogisms, Coding-Decoding, Series, and Logical Reasoning.
• Excellent communication and presentation skills.
• Ability to engage and motivate learners of varying skill levels.
• Proficiency in using MS Office and digital tools for teaching.

Job Type: Full-time

Benefits:

• Provident Fund

Schedule:

• Day shift

Language:

• English (Preferred)

Work Location: In person

Application Deadline: 30/04/2025