Data Analysis using Tableau (Faculty Role)

Job Description – Data Analysis using Tableau (Faculty Role)

Position: Faculty / Trainer – Data Analysis using Tableau
Program Duration: 30 Hours (Short-Term Training Program)
Training Timings: 3:30 PM – 5:30 PM (Daily, 2 Hours)
Location: JP Nagar, Bengaluru
Employment Type: Part-Time / Contractual
Compensation: ₹800 – ₹900 per hour

About the Program

We are conducting a 30-hour professional training program designed to equip learners with data analysis skills using Tableau. The program covers fundamentals to advanced concepts, focusing on real-world business use cases, dashboard creation, and data storytelling.

Key Responsibilities

• Deliver engaging 2-hour daily training sessions on Data Analysis using Tableau.
• Design and deliver structured curriculum & training materials.
• Provide case studies, hands-on projects, and practical assignments.
• Train learners in creating interactive dashboards, reports, and data visualizations.
• Evaluate learner progress through quizzes, exercises, and project reviews.
• Ensure smooth completion of the 30-hour program within the scheduled timeline.

Program Modules (Indicative Outline – 30 Hours)

• Introduction to Data Analysis & Tableau
• Working with Data Sources
• Data Visualization Techniques
• Advanced Tableau Features
• Dashboards & Storytelling
• Case Studies & Capstone Project

Qualifications & Skills Required

• Bachelor’s/Master’s in Computer Science, Data Analytics, Statistics, or related fields.
• Prior experience as a Tableau Trainer / Data Analyst / BI Developer.
• Strong expertise in Tableau Desktop & Tableau Public.
• Familiarity with SQL, Excel, and data analysis workflows.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for diverse learners.

Duration & Commitment

• Total Duration: 30 Hours
• Session Length: 2 Hours Daily
• Timing: 3:30 PM – 5:30 PM
• Location: JP Nagar, Bengaluru
• contact: 7569124297

Job Type: Part-time

Pay: ₹800.00 - ₹900.00 per hour

Expected hours: 4 per week

Language:

• English (Preferred)

Work Location: In person