Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing

Join Amazon's EU Hardlines analytics team as a Senior Business Intelligence Engineer where you'll shape the future of online shopping through data-driven insights. This role combines Customer Experience analysis with Item Data Quality innovation to improve how millions discover and shop for products. Available across major EU locations (London, Paris, Munich, Madrid, Milan), this position offers a unique opportunity to investigate the full customer journey through deep-dive reports and comprehensive analysis.

You'll be part of a technical team of five experts driving data innovation across Amazon's European stores. The role involves working with best-in-class tools to build automation solutions while collaborating with product teams across Europe. Your analysis and recommendations will directly influence strategic decisions and drive improvements to the shopping experience.

Key responsibilities include leading deep-dive analyses of customer behavior, developing personalization strategies, implementing A/B testing, and creating business-critical dashboards. You'll work with large-scale data processing using SQL and Spark SQL, build automated marketing solutions with Python, Lambda, and React.js, and leverage internal personalization toolkits.

The team combines quantitative analysis with qualitative customer research, focusing on scalable solutions that enhance the shopping experience for millions of European customers. You'll have the opportunity to work with cutting-edge technologies while maintaining a strong culture of innovation where technical excellence meets customer obsession.

This role requires strong analytical skills, experience with data visualization tools, and expertise in programming languages for data analysis. You'll need to effectively communicate complex findings to senior leadership and mentor team members on analytics best practices. The ideal candidate will have experience working as a Business Intelligence Engineer in a technology company and be comfortable working with large datasets.

Join a team that has established itself as the automation and measurement powerhouse in EU Stores, creating solutions that enable thousands of marketing experiences and save significant operational time through automated processes.