Business Analyst Trainer

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong technical skills, business acumen, and the ability to communicate insights effectively.

Pay: ₹70,000.00 - ₹90,000.00 per month

Job description:

Name of the College: KGiSL Institute of Technology

College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.

Job Title: Assistant Professor / Associate Professor

Departments:

● CSE

Qualification:

● ME/M.Tech/Ph.D(Ph.D must for Associate Professor)

Experience:

● Experience - 9-10 Years

Key Responsibilities:



1. Teaching & Learning:

Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.

Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.

Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).

2. Research & Publications:

Conduct independent and collaborative research in areas of specialization.

Publish research papers in peer-reviewed journals and present in reputed conferences.

Eligibility & Qualifications (As per AICTE/UGC Norms):

Educational Qualification: Ph.D. in Computer Science & Engineering or relevant discipline.

Experience: Minimum of 9 years teaching/research/industry experience, with at least 3 years at the level of Assistant Professor.

Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.

Other Requirements:

1. Good academic record throughout.
2. Proven ability to attract research funding.
3. Strong communication and interpersonal skills.
4. Work Location: [ KGiSL Campus]
5. Employment Type: Full-time / Permanent
6. Joining time: immediately

Job Type: Full-time

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Work Location: In person

Vacancy for Teaching profile at IT training institute.

Technobrilliant Learning solutions is hiring an "IT faculty member" for IT Training & Skill Development center.

Position available:

1) FULLSTACK JAVA/PYTHON FACULTY

Mode of job: offline( onsite)

Location: Shivaji Nagar, Pune & KK Market (Katraj) Pune,

Experience : 2+ years for software testing & full-stack

5+ years for Salesforce.

Type: Full-time & Part-time

Salary: Depends on experience & interview.

Website: www.technobrilliant.com

Job Title : Multi Stack Trainer

Skills: JavaScript, React.js, Angular, HTML5

Node.js (Express, NestJS)Python (Django

Job Title: Data Science Trainer

Location: Coimbatore

Employment Type: Full-time

Job Summary:

We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.

Key Responsibilities:

• Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
• Teach topics including but not limited to:
• Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
• Data Visualization (Matplotlib, Seaborn, Plotly)
• Statistics & Probability (Descriptive, Inferential)
• Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
• Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
• Big Data Tools (Hadoop, Spark – if applicable)
• Provide hands-on training with industry-relevant datasets and projects.
• Prepare lesson plans, assignments, assessments, and evaluation reports.
• Mentor learners individually to ensure conceptual clarity and practical application.
• Keep training content updated with the latest industry trends and technologies.
• Collaborate with the academic or corporate training team for curriculum improvement.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience in Data Science, Machine Learning, and Data Analytics.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
• Strong understanding of statistical concepts and their application in data analysis.
• Experience with visualization tools like Tableau/Power BI is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for learners with varied backgrounds.
• Prior teaching/training experience preferred.

We are looking for a dynamic and skilled Business Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in Business Analyst, Power BI, Tableau, Machine learning

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

This is a fulltime onsite trainer cum developer role. To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.