Experteer Overview
In this Senior Analyst role you own the analytical backbone for EU Inbound Supply Chain, designing scalable data architectures and production-grade analytics systems. You will work across real-time streaming and batch processing to deliver timely data for strategic decisions. The position blends data engineering with cross-functional influence, enabling GenAI-enabled analytics to scale insights. You’ll present to senior leadership and help transform ambiguous problems into measurable outcomes.
Compensaciones / Incentivos
• Design end-to-end data architectures for real-time (Kinesis, Flink) and batch (EMR, Redshift, Athena) workloads
• Build production-grade ETL/ELT pipelines processing multi-TB datasets with data-quality checks and monitoring
• Architect real-time analytics for operational monitoring of inbound flows, delivery accuracy, dock congestion, and disruptions
• Own metric frameworks and reporting, design KPIs, and automate dashboards (QuickSight) with root-cause context
• Develop GenAI-driven tooling and agentic workflows to automate narratives and root-cause analysis
• Conduct deep-dive investigations across multi-source datasets to quantify network-wide impact using statistical methods
Responsabilidades
• Bachelor's degree in a quantitative field
• Experience in analytics, data engineering, or BI at a large-scale enterprise with data-warehouse architecture, data modeling, and ETL/ELT design
• Advanced SQL and Python for handling multi-TB datasets and pipeline automation
• Experience with real-time streaming and batch systems (Kinesis, Kafka, Flink; EMR, Hive) and data-visualization tools (QuickSight, Tableau)
• Experience translating operational problems into analytical solutions and communicating results to senior leadership (Director/VP) with quantified impact
Requisitos principales
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📌 Sr. Analyst, Global Operational Excellence (Madrid)
🏢 Amazon
📍 Madrid