*Role is available in any of our core EU5 offices: London Paris Munich Madrid Milan*
Shape the future of online shopping through datadriven insights! Join our EU Hardlines analytics team where youll combine Customer Experience analysis with Item Data Quality innovation to improve how millions discover and shop for products. Were expanding our analytics charter into exciting new territory and need an analytical mind who loves turning data into actionable insights.
In this unique role youll investigate the full customer journey through deepdive reports and comprehensive analysis. Working closely with product managers youll analyse everything from search patterns to product discovery behaviours visualisation feature adoption and detail page engagement. Youll build automated reporting solutions design and analyse experiments that validate new ideas and create sophisticated dashboards that drive decisions. Through your analytical rigor and clear documentation youll help ensure millions of customers can easily find and trust the product information they need.
This position offers rare opportunity to create lasting impact at scale. Youll work with bestinclass tools to build automation solutions that transform how teams work while collaborating with product teams across Europe to turn insights into action. Your analysis and recommendations will influence strategic decisions and drive real improvements to the shopping experience. If youre passionate about turning complex data into clear stories that solve real problems and excited to learn from worldclass teams while tackling new challenges we want to talk to you.
Key job responsibilities
Lead deepdive analyses to uncover customer behaviour insights across strategic shopping experiences including detail page engagement patterns visualisation feature adoption and search interaction flows
Partner with EU Retail leadership to analyse and understand core strategic shopping missions developing analytical frameworks that shape search and browse experiences for key retail segments
Develop and implement detail page personalisation strategies including contextbased product recommendations
Validate new personalisation models through A/B testing and deep dive analytics measuring impact on customer engagement and conversion metrics
Create and maintain businesscritical P0s and QuickSight dashboards providing realtime visibility into CX & IDQ performance enabling datadriven decisions across EU markets
Partner with crossfunctional teams to identify improvement opportunities through data analysis and experimentation
Drive improvements in product data quality by identifying gaps through automated monitoring and analytical deep dives
Present complex analytical findings to senior leadership influencing strategic decisions and prioritisation of CX/IDQ initiatives
Mentor team members on analytics best practices and foster datadriven decision making across the organisation
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 Amazons European stores. Our vision is for all prospective Hardlines customers to be inspired to shop through highly relevant personalised and aspirational experiences powered by bestinclass understanding of customer behavior and automation. We operate across two key charters: Marketing Analytics where we build nextgeneration 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 deepdive analytics using SQL and Spark SQL for largescale data processing to building automated marketing solutions with Python Lambda 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. Weve 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 crossfunctional 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 managing analyzing and communicating results to senior leadership
Experience with data visualization using Tableau Quicksight or similar tools
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience programming to extract transform and clean large (multiTB) data sets
Experience with statistical analytics and programming languages such as R Python Ruby etc.
Experience working directly with business stakeholders to translate between data and business needs
Experience working as a BIE in a technology company
Masters degree in statistics data science or an equivalent quantitative field
Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with Python Spark SQL QuickSight AWS Lambda & Core tools of team
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