Senior Analyst, Global Operational Excellence - EU Inbound

Amazon

Madrid

On-site

EUR 85,000 - 120,000

Full time

14 days+

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Job summary

Amazon Spain Services, S.L.U. is seeking a Senior Analyst to own the analytical backbone across EU Inbound Supply Chain.

You will design scalable data architectures, build production-grade analytics systems, and drive decisions through data across real-time streaming and batch processing. The ideal candidate will blend deep data engineering expertise with cross-functional influence, building scalable pipelines on AWS, presenting to senior leadership, and prototyping GenAI tools to scale

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.
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 real-time streaming (Kinesis, Kafka, Flink) and batch processing (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 with clear business-impact quantification.

Responsibilities

Design and own end-to-end data architectures spanning real-time streaming and batch processing.
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.