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 within EU Inbound Supply Chain. This is not a single-metric reporting role you will design scalable data architectures build production-grade analytics systems and drive strategic decisions through data working across both real-time streaming and batch processing to get the team the right data at the right time.

The ideal candidate pairs deep technical expertise in data engineering and analytics with the ability to influence cross-functional stakeholders and turn ambiguous business problems into measurable solutions. Youre equally comfortable building scalable pipelines on AWS services over terabytes of data architecting a real-time monitoring solution presenting to senior leadership or prototyping GenAI tools to scale analytical capacity.

What makes this role unique:
- Context-switching is the job - one week youre decomposing a delivery-accuracy variance across the EU network; the next youre building a real-time Inbound Management pipeline; the week after youre prototyping a GenAI tool that auto-generates root-cause narratives for business reviews.
- Federated stakeholder model - youll work across Engineering Science Transportation Planning Finance and Operations. Aligning on definitions and building shared analytical frameworks matters as much as writing the code.
- GenAI as a force multiplier - you wont just use AI tools youll build them: agentic deep-dives automated narrative generation and intelligent alerting that scale analysis across inbound speed DEA and transportation optimization.


Key job responsibilities
- Design and own end-to-end data architectures spanning real-time streaming (Kinesis Flink) and batch processing (EMR Redshift Athena) selecting the right paradigm for the latency volume and criticality at hand.
- Build production-grade scalable ETL/ELT pipelines processing multi-TB datasets daily across Redshift Athena S3 and DynamoDB with data-quality checks monitoring and alerting.
- Architect real-time analytics for operational monitoring: live visibility into inbound flows delivery accuracy dock congestion and network disruptions.
- Own metric frameworks and reporting: design KPIs build automated dashboards (QuickSight) support WBR/MBR narratives and own the why through root-cause analysis when metrics move.
- Develop GenAI-driven tooling and agentic workflows that automate reporting narratives and root-cause analysis reducing time-to-insight from days to minutes.
- Drive deep-dive investigations across complex multi-source datasets tracing issues to specific products warehouses or routes then quantifying network-wide impact with statistical methods.



A day in the life
Youll have exposure to the full data-product lifecycle from defining metrics to designing architectures building pipelines and delivering insights to senior leadership. A typical week might include:
- Designing pipelines that unify real-time event streams (shipment scans trailer movements inventory updates) and batch sources (forecasts historical performance) into a single analytical layer.
- Writing advanced SQL across multiple sources to investigate why delivery promises were missed from the customer order through placement transportation and fulfillment.
- Building Python-based automation for anomaly detection statistical modeling and reporting.
- Iterating on GenAI-powered tools and presenting data-driven recommendations with clear quantification of customer and cost impact to senior leadership.
- Triaging emerging operational issues from real-time dashboards and providing data-backed context.

About the team
The Global Operational Excellence (GOX) team drives operational improvements across Amazons EU fulfillment network and ROW. We work at the intersection of technology and operations to optimize how inventory is placed moved and delivered reducing costs while improving customer experience. Our team leverages large-scale data analysis automation and cross-functional collaboration to solve complex supply chain challenges across Inbound Speed Delivery Estimate Accuracy (DEA) and network performance.

- Bachelors 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.

- Masters 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 ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The minimum gross base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours the salary will be pro-rated.

Amazon reserves the right to offer a higher salary and/or level depending on the candidates skills competencies and experience. Amazons package may include a sign on addition the candidate may be eligible to participate in a restricted stock unit scheme operated independently by USA. Your recruiting team will share final salary and any restricted stock unit scheme if applicable depending on skills and requirements.

In addition to statutory benefits and those applicable to the relevant CBA company supplementary benefits may apply subject to further terms.

See below the minimum gross base salary for this position:

Milan ITA - 71200.00 EUR Annually