Data Analytics Trainer

Key Responsibilities:

• Curriculum Development:
• Design, develop, and continuously update comprehensive data analytics training curricula, course materials, presentations, hands-on exercises, and real-world case studies.
• Tailor training content to various skill levels (beginner, intermediate, advanced) and target audiences, including business users, aspiring data analysts, and IT professionals.
• Ensure content reflects the latest industry trends, tools, and best practices in data analytics (e.g., big data,

Training Delivery:

• Conduct highly interactive and engaging training sessions, workshops, and bootcamps, both in-person and virtually.
• Clearly explain complex data analytics concepts, including data collection, cleaning, transformation, exploratory data analysis (EDA), statistical analysis, predictive modeling, and data visualization.

Technical Expertise:

• Demonstrate strong proficiency in relevant data analytics tools and technologies, which may include:
• Programming Languages: Python (with libraries like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), R.
• Databases & SQL: Relational databases (e.g., MySQL, PostgreSQL, SQL Server) and advanced SQL querying.
• Spreadsheet Software: Advanced Excel for data manipulation, analysis, and visualization.

Required Qualifications and Skills:

• Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.

Job Types: Full-time, Part-time, Fresher

Schedule:

• Day shift

Work Location: In person