Trainer Faculty AI Business Analyst

Ganpat University; Mahesana; On-site; INR 400,000 - 600,000; Part time

Job summary

Ganpat University, under NGKRM, seeks Trainers/Faculty for the AI-Business Analyst role. The trainer will deliver industry-oriented learning in AI, data analysis and business analysis, helping trainees develop job-ready analytical capabilities.

The position emphasizes practical sessions, case studies, and project work, with content aligned to current industry technologies and NGKRM requirements.

Qualifications

• Graduate with relevant technical background.
• Exposure to IT/AI/data analysis preferred.
• Strong communication and mentoring skills.

Responsibilities

• Deliver classroom and practical training per QP/curriculum.
• Conduct hands-on sessions, assignments, and project-based learning.
• Prepare training materials, demonstrations, and assessments.
• Monitor attendance, performance and progress of trainees.
• Coordinate with academic teams for program implementation.
• Ensure training aligns with NGKRM sector requirements.

Skills

Business Analysis

Data Analysis and Interpretation

Artificial Intelligence

Data Visualization

Advanced Excel

SQL and Databases

Python

Power BI

Tableau

Machine Learning fundamentals

Education

Graduate in Engineering / Science / Computer Science / Electronics and Engineering / Information Technology

Tools

Power BI

Tableau

SQL

Job description

Trainer / Faculty AI-Business Analyst

Ganpat University | Namo Gujarat Kaushalya and Rojgar Mission (NGKRM)

Position Details

Project: Namo Gujarat Kaushalya and Rojgar Mission (NGKRM)

Implementing Institution: Ganpat University

Sector: IT-ITeS

Qualification Pack: SSC/Q8121

NSQF Level: 5.5

Vacancies: 5

Job Type: Project / Contractual

Location: Ganpat University / Project Training Centres, Gujarat

About the Role

Ganpat University is seeking qualified and experienced Trainers / Faculty for the AI-Business Analyst role under NGKRM. The selected trainer will deliver practical, industry-oriented learning in AI, data analysis and business analysis and help trainees develop job-ready analytical and problem-solving capabilities.

Key Responsibilities

• Deliver classroom and practical training as per the prescribed Qualification Pack (QP) and curriculum.
• Conduct hands-on sessions, demonstrations, assignments, case studies and project-based learning.
• Prepare training material, presentations, practical exercises and assessment content.
• Conduct periodic tests, practical assessments, assignments and evaluations.
• Monitor trainee attendance, participation, performance and learning progress.
• Identify learning gaps and provide mentoring and remedial support.
• Guide trainees in practical projects and industry-oriented assignments.
• Support employability, interview preparation and industry-readiness activities.
• Maintain attendance, assessment, progress reports and other project documentation.
• Coordinate with project and academic teams for effective implementation of the training program.
• Keep training content aligned with current industry technologies, tools and practices.
• Ensure training delivery complies with applicable NGKRM and Sector Skill Council requirements.

Mandatory Eligibility

Educational Qualification: Graduate in Engineering / Science / Computer Science / Electronics and Engineering / Information Technology.

Relevant Experience: Minimum 0-2 years of relevant experience in IT, Artificial Intelligence, Data Analysis or Business Analysis.

Preferred Technical Skills

• Business Analysis
• Data Analysis and Interpretation
• Artificial Intelligence
• Data Visualization
• Advanced Excel
• SQL and Databases
• Python
• Power BI / Tableau
• Business Intelligence
• Machine Learning fundamentals

Preferred Trainer Attributes

• Strong communication and presentation skills.
• Ability to explain technical concepts in a simple and practical manner.
• Industry-oriented and hands-on training approach.
• Strong analytical, problem-solving and mentoring skills.
• Ability to work with students, trainees and fresh graduates.

Application Note

Candidates meeting the prescribed eligibility criteria are encouraged to apply with an updated CV, mentioning the relevant Job Role and Qualification Pack (QP) Code.