Analytics Trainer (Teaching - Data Analytics / ML / AI / SAS)

Hiring for Analytics Trainer (Teaching – Data Analytics / Machine Learning / AI / SAS)

Experience:

Open to:

Location:

Mode:

Joining Preference:

CTC Budget:

Travel:

Required Skills:

6+ years of teaching/training experience

large classroom audiences (40+ learners)

candidates with university teaching experience or exposure to reputed EdTech organizations.

Data Analytics; Statistical Modeling; Machine Learning; Artificial Intelligence; Domain-specific analytics applications

SAS or similar analytics platforms

• Excellent communication, presentation, and facilitation skills.

• Ability to simplify complex technical concepts for diverse learner groups.

Master’s degree in Analytics, Statistics, Data Science, Computer Science, or a related field.

• Strong documentation and instructional content development skills.

• Experience collaborating with cross-functional teams (Sales, Consulting, R&D).

• Strong problem-solving mindset with attention to detail.

• Ability to work independently and collaboratively in a team-oriented environment

Post your resume at atul@mnmhiretech.com & mention in Subject line: "Application for Analytics Trainer"

Key Responsibilities:

Training Delivery

• Deliver instructor-led training programs, mentoring sessions, and workshops at training centers, client locations, and through live virtual sessions.

• Conduct hands-on training covering foundational to advanced topics in Analytics, ML, AI, and SAS.

• Manage and engage classroom sizes of 40+ participants effectively.

Content Design & Development

• Design, develop, and continuously enhance analytics training curriculum and learning materials.

• Research emerging analytics, ML, and AI techniques and build new course modules aligned with real-world use cases.

• Collaborate with internal teams and customers to prepare, update, and refine courseware and documentation.

Consulting & Academic Support

• Support fellow analytics trainers and consultants during advanced workshops.

• Act as a Subject Matter Expert (SME) for Sales, Consulting, and internal teams on analytics methodologies and applications.

• Participate in internal initiatives and customer-facing projects independently or under senior guidance.

Product & Process Improvement

• Provide structured feedback to R&D teams on tools, platforms, and training effectiveness.

• Review, edit, and improve documentation for internal and cross-functional teams. Continuous Learning & Skill Development.

• Continuously build expertise in advanced analytics, ML, AI, and SAS mapped to scientific and business use cases.

• Stay updated with emerging trends, tools, and technologies in analytics and data science.