Data Science Trainer/Faculty

Dice Academy Delhi; Delhi Charter Township (MI); On-site; USD 5,200 - 9,400; Full time

Benefits offered by this job

Health insurance

Paid time off

Provident Fund

Job summary

Dice Academy Delhi in Delhi NCR is seeking a Data Analytics/ Science Trainer/Faculty to deliver high-quality training 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.

The role involves conducting training on SQL, Python/R, Power BI, Tableau, Excel, and ML, developing and updating materials, and mentoring students.

Qualifications

• Bachelor's or Master's in Data Science, CS, or Statistics or related field.
• 2+ years in data analytics or BI or related role.
• Strong communication and presentation skills; able to simplify complex concepts.
• Experience in training, teaching, or mentoring is a plus.

Responsibilities

• Conduct training sessions on Data Analytics, SQL, Python/R, Power BI, Tableau, Excel, and ML 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 training structure and content.

Skills

SQL

Python/R

Excel

Power BI

Tableau

Machine Learning

Teaching

Communication

Data Analytics

Education

Bachelor's/Master’s degree in Data Science, Computer Science, Statistics, or a related field

Tools

Power BI

Tableau

Excel

Job description

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

• Day shift
• Fixed shift

Language

• English (Preferred)

Work Location: In person