This role will drive analytics and data science for one or more of Shell’s Retail business teams
The ideal candidate is passionate about delivering commercial value and insights through Retail Analytics and Data Science
We help the business team’s answer some of the following questions:
What is the right assortment and mix of products to drive category growth?
How responsive are our products to price changes?
Which of our competitors impact our sales and pricing?
How can we improve the customer experience at our outlets?
Which customers are most likely to churn?
Candidate should be able to ask the right questions, ability to move from data to insight to action, break down strategic & operational questions from different Retail teams and structurally answer them with data driven insights
Incumbent is responsible for working on a range of technologies and tools collaborating directly with the Retail stakeholders & other partners
Industry / Functional Expertise
Provide deep business expertise in Retail/CPG businesses:
Category Analytics: Range reviews, Assortment planning, identifying trends and patterns in category performance, new product launches
Pricing Analytics: Understanding Price elasticity, evaluating impact of competitor pricing, impact of pricing changes on margins