Data Analytics Trainer

About the Role

The Data Analytics Trainer will deliver classroom-based training in Chennai, guiding learners through core and advanced data analytics concepts, tools, and real-world applications. This full-time, on-site role involves designing and updating curriculum, preparing training materials, and conducting lectures, workshops, and hands-on lab sessions. The trainer will assess learner performance through assignments, projects, and evaluations, providing feedback and mentoring to support career readiness. The role includes collaborating with academic and administrative teams to align course content with industry standards, integrating practical case studies, and ensuring high-quality learning outcomes. The trainer is also expected to stay current with emerging data analytics technologies and methodologies to continuously improve the training programs.

Key Responsibilities

• Deliver classroom-based training in Chennai.
• Guide learners through core and advanced data analytics concepts, tools, and real-world applications.
• Design and update curriculum.
• Prepare training materials.
• Conduct lectures, workshops, and hands-on lab sessions.
• Assess learner performance through assignments, projects, and evaluations.
• Provide feedback and mentoring to support career readiness.
• Collaborate with academic and administrative teams to align course content with industry standards.
• Integrate practical case studies.
• Ensure high-quality learning outcomes.
• Stay current with emerging data analytics technologies and methodologies.

Qualifications

• Strong Information Technology and Software Development skills relevant to data analytics tools, databases, and programming environments.
• Teaching, Training, and Lecturing skills, including the ability to explain complex technical concepts clearly to diverse learner groups.
• Expertise in designing and delivering structured training programs, practical lab sessions, and assessments in a classroom setting.
• Proficiency in data analytics tools such as Excel, SQL, Python/R, and visualization platforms.
• Basic statistical understanding.
• A bachelor’s or master’s degree in Computer Science, Information Technology, Data Science, or a related field is preferred.
• Prior experience as a trainer, instructor, or faculty member in data analytics or IT-related domains is an advantage.
• Strong communication, presentation, and classroom management skills.
• Ability to work collaboratively within an academic environment.
• Commitment to learner-centric teaching, inclusivity, and continuous professional development.