Senior Trainer - Analytics & Data Science

Role Overview

We are looking for a trainer who can teach analytics, Python, SQL, statistics, and SAS to university students and corporate learners. The role focuses on clear instruction, practical examples, and consistent learner support. 

Key Responsibilities

Training Delivery

• Conduct classroom and online sessions on analytics fundamentals, Python, SQL, statistics, and SAS.
• Lead live coding, demonstrations, and guided practice sessions.
• Adapt teaching methods for students and working professionals.

Curriculum & Content Development

• Prepare and update training material, lab exercises, and assessments.
• Align content with academic requirements and industry practices.
• Map Python-based concepts to SAS during instruction.

Learner Evaluation & Support

• Review assignments, quizzes, and project work.
• Provide doubt-resolution sessions and learning guidance.
• Share learner progress reports with academic or corporate teams.

Collaboration

• Coordinate with university faculty, training managers, and placement teams for schedules and feedback.
• Participate in orientations, demos, and related activities.
• Maintain professional conduct and timely communication.

Continuous Development

• Stay informed about new tools and analytics trends.
• Complete internal SAS training to build platform expertise.
• Suggest improvements to teaching methods and training materials.

Required Qualifications

Education

• Degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related fields.

Technical Skills

• Good working knowledge of Python (core concepts, functions, pandas/NumPy).
• Understanding of SQL queries and data handling.
• Foundation in statistics and analytics.
• Willingness to learn SAS tools (training support provided).

Teaching & Communication

• Minimum 8 years of teaching, mentoring, or training experience (formal or informal).
• Ability to explain concepts in a structured and clear manner.
• Strong communication and classroom management skills.

Preferred Qualifications

• Exposure to SAS tools (SAS Studio, SAS OnDemand, etc.).
• Experience teaching in academic or corporate environments.
• Awareness of BI/visualization tools such as Power BI or Tableau.
• Experience designing lab exercises or project-based tasks.