Position: Data Analytics/ Science Trainer/Faculty
Location: Delhi NCR
Job Type: Full-time/Part-time/Freelance
Experience: 2+ years in Data Science or related field
Industry: Education/Training
Job Overview
We are looking for a skilled
Data ScienceTrainer/Faculty to join our team and deliver high-quality training sessions to aspiring data professionals. The ideal candidate should have hands-on experience in data analytics, strong teaching skills, and the ability to simplify complex concepts for learners.
Key Responsibilities
- Conduct engaging and interactive training sessions on Data Analytics, SQL, Python/R, Power BI, Tableau, Excel, big data and Machine Learning (as required).
- Develop and update course materials, including presentations, assignments, and real-world case studies.
- Provide hands-on training with industry-relevant datasets and tools.
- Assess and evaluate students progress through tests, projects, and assignments.
- Stay updated with the latest industry trends and incorporate them into the curriculum.
- Assist students with queries and provide mentorship for their career growth.
- Collaborate with the academic team to improve the training structure and content.
Required Skills & Qualifications
- Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or a related field.
- 2+ years of experience in Data Analytics, Business Intelligence, or a related role.
- Strong expertise in SQL, Python/R, Excel, Power BI, Tableau, and Machine Learning (preferred).
- Prior experience in training, teaching, or mentoring is a plus.
- Excellent communication and presentation skills.
- Ability to simplify complex technical concepts for beginners.
- Passion for teaching and mentoring students.
Preferred Qualifications
- Data Analytics certifications (Google Data Analytics, Microsoft Power BI, etc.)
- Experience in corporate training or classroom teaching.
- Familiarity with industry projects and case studies.
If you are passionate about teaching and shaping future data professionals, we'd love to have you on board!
Job Types: Full-time, Part-time, Permanent
Benefits
- Health insurance
- Paid time off
- Provident Fund
Schedule
Language
Work Location: In person