Data Analytics Trainer

Role & responsibilities

1. Technical Training

• Deliver comprehensive training on Data Analytics concepts and tools.
• Train students in Advanced Excel, SQL, Python, Power BI, and Tableau.
• Teach data cleaning, data transformation, data modeling, and data visualization.
• Explain statistical concepts, exploratory data analysis, and business intelligence.
• Demonstrate practical applications of analytics in real-world business scenarios.

2. Practical & Project-Based Learning

• Create hands-on exercises using real-world datasets.
• Guide students in developing end-to-end Data Analytics projects.
• Train students in building interactive dashboards and reports.
• Provide practical assignments and case studies.
• Help students understand business problems and derive data-driven insights.

3. Curriculum Development

• Develop structured course content and training materials.
• Prepare presentations, assignments, assessments, and project documentation.
• Update training modules according to changing industry requirements.
• Incorporate practical business use cases into the curriculum.

4. Student Mentoring & Career Support

• Monitor student performance and learning progress.
• Conduct technical assessments and practical evaluations.
• Provide interview preparation and mock interview sessions.
• Guide students in building project portfolios and resumes.
• Support students in developing job-ready technical skills.

Preferred candidate profile

• Bachelor's or Master's degree in Computer Science, IT, Data Science, Statistics, or a related discipline.
• 1 to 6 years of relevant industry or training experience.
• Strong hands-on knowledge of Data Analytics tools.
• Excellent verbal and written communication skills.
• Strong presentation and classroom management skills.
• Ability to simplify complex technical topics.
• Candidates with prior experience in IT training institutes, corporate training, or technical mentoring.
• Candidates with real-time Data Analytics project experience.
• Professionals transitioning from Data Analyst or BI Developer roles into training.
• Candidates who can independently manage training batches and student learning outcomes.

Performance Expectations

• Deliver high-quality technical training sessions.
• Ensure practical implementation of concepts taught.
• Complete the training curriculum within the planned schedule.
• Maintain student engagement and learning outcomes.
• Help students become industry-ready Data Analytics professionals.

Technical Skills Required

Must-Have Skills:

• SQL Joins, Subqueries, CTEs, Window Functions, Stored Procedures.
• Python Pandas, NumPy, Matplotlib, Seaborn.
• Advanced Excel – Pivot Tables, Lookup Functions, Charts, Data Analysis.
• Power BI – Power Query, DAX, Data Modeling, Dashboard Development.
• Statistics – Descriptive Statistics, Probability, Hypothesis Testing.
• Data Visualization and Business Intelligence.

Good-to-Have Skills:

• Tableau
• ETL Processes
• Basic Machine Learning Concepts
• Data Warehousing
• Azure / AWS Fundamentals
• Generative AI applications in Data Analytics

Employment Type: