Visiting Faculty for the Course : Data Analytics for Retail Decision-Making, MBA

Visiting Faculty for the MBA Technology Management Program

Position Title : Visiting Faculty

Course :

Data Analytics for Retail Decision-Making, MBA

Location :

Yelahanka, Bangalore, Karnataka

Mode :

On Campus, no online classes

Duration :

One Term of a Trimester (extendable based on academic needs and performance)

20th October 2025 to 31st December 2025

Course Overview

The course “Data Analytics for Retail Decision-Making” is designed to equip MBA and postgraduate management students with analytical tools and data-driven approaches for solving real-world retail business problems. It focuses on developing the ability to interpret, model, and leverage data for improving decisions in areas such as customer management, pricing, inventory, promotion, and supply chain optimization.

Key thematic areas include :

• Fundamentals of data analytics in the retail context
• Retail data collection, preparation, and visualization
• Predictive modeling for sales forecasting and demand estimation
• Customer segmentation and recommendation systems
• Pricing, promotion, and assortment optimization using data analytics
• Application of AI / ML tools in retail strategy
• Ethical and privacy considerations in retail data analytics

Key Responsibilities

Qualifications

Essential :

Desirable :

Skills and Competencies

Remuneration

Compensation will be commensurate with qualifications, experience, and profile , and in line with TAPMI’s norms for visiting faculty.

Application Process

Interested candidates may send their applications to Prof. Deepak A S ( ), Analytics Area Chair, with the subject line : “Application – Visiting Faculty (Data Analytics for Retail Decision-Making)”

The application should include :