EU Inbound Analytics & Operational Excellence Lead

Johnson Johnson

Madrid

Hybrid

EUR 90.000 - 130.000

Vollzeit

vor 37 Stunden
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Zusammenfassung

Amazon is hiring a Sr. Analyst for Global Operational Excellence to own analytical backbones across EU Inbound Supply Chain. You will design scalable data architectures, build production-grade analytics systems, and drive data-informed decisions across real-time streaming and batch processing.

The role requires leading-edge expertise in data engineering, AWS, GenAI tooling, and cross-functional influence, with a focus on delivering measurable business impact and senior leadership-ready insights.

Qualifikationen

  • 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.

Aufgaben

  • Design and own end-to-end data architectures spanning real-time streaming (Kinesis, Flink) and batch processing (EMR, Redshift, Athena).
  • Build production-grade, scalable ETL/ELT pipelines processing multi-TB datasets daily across Redshift, Athena, S3, and DynamoDB.
  • 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 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.

Kenntnisse

SQL
Python
Data engineering
AWS
GenAI
Data modeling
ETL/ELT
Real-time streaming

Ausbildung

Bachelor's degree in a quantitative field
Master's degree in statistics, data science or related field

Tools

Kinesis
Flink
EMR
Redshift
Athena
S3
DynamoDB
QuickSight

Jobbeschreibung

Amazon is hiring a Sr. Analyst for Global Operational Excellence to own analytical backbones across EU Inbound Supply Chain. You will design scalable data architectures, build production-grade analytics systems, and drive data-informed decisions across real-time streaming and batch processing.

The role requires leading-edge expertise in data engineering, AWS, GenAI tooling, and cross-functional influence, with a focus on delivering measurable business impact and senior leadership-ready insights.

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