Data Analytics Trainer

We are looking for a passionate and experienced Data Analytics Trainer to join our institute. The trainer will be responsible for delivering high-quality training sessions, mentoring students, and helping them build practical skills in data analytics. The ideal candidate should have strong knowledge of data analytics tools, techniques, and real-world applications.

Key Responsibilities:

• Conduct classroom and/or online training sessions on Data Analytics.
• Design, develop, and update training materials, case studies, and practical assignments.
• Teach concepts such as:
• Data cleaning, transformation, and visualization
• Exploratory Data Analysis (EDA)
• SQL, Excel, Python/R for data analysis
• Power BI / Tableau for data visualization
• Basic statistics, probability, and business intelligence concepts
• Provide hands-on training with industry-relevant datasets.
• Mentor and guide students in projects, assessments, and career preparation.
• Stay updated with industry trends and incorporate them into training.

Required Skills & Qualifications:

• Bachelor’s/Master’s/Diploma degree in Data Science, Statistics, Computer Science, or any related field.
• Proven experience as a Data Analyst / Data Scientist / Trainer.
• Strong expertise in tools such as MS Excel, SQL, Python/R, Power BI, Tableau.
• Excellent communication and presentation skills.
• Passion for teaching and mentoring students.
• Fluency in Hindi and English.

Preferred Qualifications:

• Prior 3-4 years of experience in Data Analytics.
• Knowledge of advanced topics such as Machine Learning, Big Data, or Cloud Analytics.
• Industry certifications (e.g., Microsoft Power BI, Tableau, Google Data Analytics).

What We Offer:

• Competitive salary/package.
• Opportunity to shape careers of aspiring data professionals.
• Supportive and collaborative work environment.
• Access to continuous learning and professional development.

Job Type: Full-time

Pay: ₹25,000.00 - ₹30,000.00 per month

Benefits:

• Paid sick time

Work Location: In person