Join us on a mission to revolutionize curated marketing experiences at Amazon! We're seeking an analytical and creative mind to build automated solutions that transform how millions of customers discover products across Europe. 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. 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. Join us in creating the next generation of intelligent, curated marketing experiences that will set new standards in e-commerce.
Key job responsibilities
• 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
About the team
The EU Hardlines Customer Insights & Analytics team consists of five technical experts - four Business Intelligence Engineers and one Research Specialist - driving data innovation across Amazon's European stores. Our vision is for all prospective Hardlines customers to be inspired to shop through highly relevant, personalised, and aspirational experiences, powered by best-in-class understanding of customer behavior and automation. We operate across two key charters: Marketing Analytics, where we build next-generation models and automation solutions that enable personalised marketing at scale, and Customer Experience (CX) & Item Data Quality (IDQ), where we drive improvements in how millions of customers discover and evaluate products.
Our work spans multiple technical disciplines: from deep-dive analytics using SQL and Spark SQL for large-scale data processing, to building automated marketing solutions with Python, Lambda, React.sj, and leveraging internal personalisation toolkits to create and deploy new product recommendation strategies. The team combines quantitative analysis with qualitative customer research to drive improvements, using automated reporting solutions to validate results and support next step definition. We've established ourselves as the automation and measurement powerhouse in EU Stores, with our solutions enabling thousands of marketing experiences and saving significant operational time through automated campaign scheduling, storefront creation, and performance measurement. Through our focus on scalable solutions and partnership with cross-functional teams, we maintain a strong culture of innovation where technical excellence meets customer obsession to enhance the shopping experience for millions of European customers.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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