Business Intelligence Engineer, Amazon

• We're seeking an analytical and creative mind to build automated solutions that transform how millions of customers discover products across Europe
• If you're passionate about using data to solve complex problems, excited about building automated systems that scale excellence, and driven to create more engaging shopping experiences, we want to hear from you
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience with SQL
• Experience in the data/BI space

Desirable

• Join us on a mission to revolutionize curated marketing experiences at Amazon
• As part of our EU Hardlines Customer Insights & Analytics team, you'll develop innovative Automated Marketing Models while establishing frameworks that continuously improve their performance
• In this pivotal role, you'll wear multiple hats to drive excellence in our marketing experiences
• You'll develop new automated marketing models that connect customers with relevant products, create sophisticated customer segments based on shopping behaviors and preferences, and build automated monitoring systems that identify opportunities for improvement
• Working with cross-functional teams, you'll establish quality controls and feedback loops that ensure our marketing experiences continuously evolve and improve, while scaling our ability to experiment and innovate
• This is a unique opportunity to shape the future of online retail at scale
• You'll work with rich customer behavior data to build automated solutions that enhance millions of shopping journeys - from creating new ways to surface products, to developing systems that automatically detect and address experience gaps
• Join us in creating the next generation of intelligent, curated marketing experiences that will set new standards in e-commerce
• Designing, delivering and maintaining Automated Marketing Models that connect customers with relevant products, leveraging customer behavioir data and shopping patterns
• Creating advanced customer segmentation frameworks based on propensity modelling and behavioural analysis to enable targeted marketing experiences
• Building and maintaining an automated monitoring system that identifies improvement opportunities across our marketing experiences
• Establishing automated feedback loops and quality controls that continuously improve the performance of our marketing models and customer experiences
• Working with cross-functional teams to design and analyse experiments that validate new automated marketing approaches and segment strategies
• Developing scalable, automated reporting solutions that track the health and performance of our marketing models and segments
• Creating clear documentation and frameworks that enable broad adoption of our automated solutions across marketing teams
• Building deep expertise in our marketing automation tools and systems, while continuously identifying opportunities to improve their capabilities
• Communicating complex analytical findings to stakeholders with a focus on making clear the insights, assumptions, and opportunities for improvement
• Partnering with product and marketing teams to understand business needs and convert them into analytical solutions that can be automated and scaled