
Data Analysis using Tableau
2 weeks ago
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:
Job Type: Part-time
Pay: ₹ ₹900.00 per hour
Expected hours: 4 per week
Language:
- English (Preferred)
Work Location: In person
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