Group eRetail
Pubblicato il 19-10-2026 - Coca-Cola HBC in Caserta
Department: Trade Marketing, Insights and RGM Contract Type: Permanent We are looking for Group eRetail & FSA (Food Service Aggregators) Business Analyst who will lead data & insights for the rapidly growing stream of eRetail & FSA. IN THIS EXCITING ROLE YOU WILL: * Help the business get a thorough understanding of eRetail & FSA performance and its drivers: * Analyze customers’ sell-in & sell-out on SKU level where available, reporting on country/customer/sub-channel level, as well as on category and brand level (vs LY, vs BP). * Manage eRED (online Right Execution Daily) reporting and propose quick wins to close gaps. * Connect sell-out & eRED performance to measure impact on our revenue growth. * Work closely with other functions and external data suppliers to consolidate & evaluate all data available and connect these with Coca-Cola HBC reports (e.g., online market shares, shoppers and market data, trends). * Evaluate promo and marketing initiatives based on input from BUs and propose best practices to scale up everywhere. * Equip the business with latest market trends,
identifying opportunities and risks: * Analyze shopper segmentation, demographics, shopping, and consumption trends. * Monitor and report on competition insights. * Define unique e-Customer needs and requirements based on available data. * Own and lead quality, up-to-date insights tool development & maintenance for the business: * Collect all available data from e-Customers and make it actionable. * Actively engage with all strategic digital projects, aiming to support and accelerate progress via analytics. * Work in sync with the Data Insights and Analytics team to leverage all offline market and shopper information. * Own Power BI tools, verifying all data uploads, ensuring reports work properly, and developing new features. YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE: * Experience in data analytics with online environment understanding * Experience in translating online sales data into sugge