Business Intelligence Engineer, EU Hardlines Marketing

Join Amazon's EU Hardlines Customer Insights & Analytics team to revolutionize curated marketing experiences across Europe. As a Business Intelligence Engineer, you'll be at the forefront of developing innovative Automated Marketing Models that transform how millions of customers discover products. The role combines technical expertise with creative problem-solving to build automated solutions that scale excellence in marketing experiences.

You'll work within a team of five technical experts, focusing on two key areas: Marketing Analytics and Customer Experience & Item Data Quality. Your responsibilities span from developing sophisticated customer segmentation frameworks to creating automated monitoring systems that continuously improve marketing performance. Using technologies like SQL, Python, Lambda, and React.js, you'll build solutions that enable personalized marketing at scale.

The position offers unique opportunities to work with rich customer behavior data, developing automated systems that enhance millions of shopping journeys. You'll collaborate with cross-functional teams to design and analyze experiments, create scalable reporting solutions, and establish quality controls that ensure continuous improvement of marketing models.

The team has established itself as the automation and measurement powerhouse in EU Stores, with solutions that enable thousands of marketing experiences and save significant operational time through automated campaign scheduling, storefront creation, and performance measurement. The culture combines technical excellence with customer obsession, focusing on delivering improvements that enhance the shopping experience for millions of European customers.

This role is perfect for someone who is passionate about using data to solve complex problems, excited about building automated systems that scale excellence, and driven to create more engaging shopping experiences. You'll have the opportunity to shape the future of online retail at scale, working with cutting-edge technologies and rich datasets to drive innovation in e-commerce marketing.