Sr. Analyst , Global Operational Excellence

Please note: This job is advertised for Luxembourg but can be located in any of our EU sites or offices.We are seeking a Senior Analyst to own the analytical backbone across multiple high-impact domains Basic qualifications: - Bachelor's degree in a quantitative field such as statistics, mathematics, data science, computer science, economics, engineering, or operations research. - Experience in analytics, data engineering, or business intelligence at a large-scale enterprise, including data-warehouse architecture, data modeling, and ETL/ELT pipeline design. - Advanced SQL and programming (Python or equivalent) to extract, transform, and clean large (multi-TB) datasets, plus scripting for pipeline automation and scheduling. - Experience with both real-time streaming (e.g., Kinesis, Kafka, Flink) and batch processing (e.g., EMR, Hive) systems, and with data-visualization tools (QuickSight, Tableau, or similar). - Experience translating operational problems into analytical solutions and communicating results to senior leadership (Director/VP) with clear business-impact quantification. Preferred: - Master's degree in statistics, data science, computer science, operations research, or an equivalent quantitative field. - Experience with AWS services including S3, Redshift, Athena, EMR, Kinesis, Lambda, Glue, Step Functions, SageMaker, and DynamoDB. - Experience with GenAI/LLM integration - building AI-assisted analytical tools, prompt engineering, RAG architectures, or agentic workflows. - Experience with statistical analysis and experimentation (design of experiments, causal inference, A/B testing) and ML/data-mining pipelines. - Knowledge of supply-chain operations (inventory placement, network optimization, transportation, fulfillment) and Amazon internal data systems (Andes/Redshift, Cradle, Data Central, EDX). 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.