Senior Data Architect for Global Operations Excellence

Amazon.com; Milano; In loco; EUR 64.000 - 78.000; Tempo pieno

Descrizione del lavoro

Amazon seeks a Senior Analyst to own the analytical backbone across EU Inbound Supply Chain, building scalable data architectures and production-grade analytics systems for real-time streaming and batch processing. You will influence stakeholders, prototype GenAI tools, and drive strategic decisions with data.

The role spans across Engineering, Science, Transportation, Planning, Finance, and Operations, enabling cross-functional impact with federated analytics and KPI-driven narratives for

Competenze

• Bachelor’s degree in a quantitative field.
• 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.

Mansioni

• 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 latency, volume, and criticality.
• 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.

Conoscenze

SQL

Python

Data engineering

Analytics

Real-time streaming

Formazione

Bachelor's degree in a quantitative field

Strumenti

Kinesis

Flink

EMR

Redshift

Athena

DynamoDB

QuickSight

Tableau

SageMaker

Lambda

Descrizione del lavoro

Amazon seeks a Senior Analyst to own the analytical backbone across EU Inbound Supply Chain, building scalable data architectures and production-grade analytics systems for real-time streaming and batch processing. You will influence stakeholders, prototype GenAI tools, and drive strategic decisions with data.

The role spans across Engineering, Science, Transportation, Planning, Finance, and Operations, enabling cross-functional impact with federated analytics and KPI-driven narratives for