Data Analyst Trainer

About the job

Key Responsibilities: • Conduct offline classroom training sessions in Data Analytics. • Deliver structured training on Microsoft Excel (basic to advanced), SQL, Python for Data Analysis, and Data Visualization tools (Power BI or Tableau). • Design and conduct hands-on practical exercises, assignments, and assessments. • Guide students in developing real-world projects and a final capstone project. • Support students in building portfolios, resumes, and preparing for entry-level interviews. • Track student progress, attendance, and performance. • Coordinate with the institute’s academic and administrative team for smooth course execution. Required Skills and Competencies: • Advanced proficiency in Microsoft Excel, including data cleaning, analysis, and dashboards. • Strong working knowledge of SQL (MySQL or PostgreSQL preferred). • Practical experience in Python for Data Analysis (Pandas, NumPy, visualization libraries). • Experience with data visualization tools such as Power BI or Tableau. • Ability to explain technical concepts clearly to beginners. Eligibility Criteria: • Educational background in Engineering, Computer Science, Information Technology, Statistics, Mathematics, or Analytics (degree flexible based on experience and skills). • Minimum 4 to 6 years of relevant industry experience as a Data Analyst, Business Analyst, BI Analyst, or similar role. • Prior teaching, training, or mentoring experience is preferred. Soft Skills: • Strong verbal communication skills in English and Hindi. • Professional classroom management and student engagement skills. • Mentoring mindset with a focus on student learning outcomes.

Requirements

• Microsoft Excel
• SQL
• Python
• Data Visualization tools

Qualifications

• Engineering
• Computer Science
• Information Technology
• Statistics
• Mathematics
• Analytics

Preferred Technologies

• Microsoft Excel
• SQL
• Python
• Data Visualization tools

About the company

Cesvila Solutions Pvt. Ltd. is a company that specializes in training and education, particularly in Data Analytics.