Operational Excellence Analyst - Data & Automation

Amazon.com

Madrid

Presencial

EUR 85.000 - 105.000

Jornada completa

Hace 10 días
Generador de candidaturas

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Descripción de la vacante

Amazon.com in Madrid is seeking an Operational Excellence Analyst to drive data-driven performance improvements across EU inbound supply chain. You will own analytics, build scalable data pipelines, and develop tools to identify defects and improve customer delivery outcomes.

You will write production-grade SQL, develop Python automation, design dashboards, and collaborate with cross-functional teams to translate findings into system changes that prevent issues and accelerate insight delivery.

Formación

  • Bachelor's degree or equivalent in math, engineering, science or business.
  • 3+ years of experience in data analytics, BI, or data engineering within operations/supply chain.

Responsabilidades

  • Own the data infrastructure behind Inbound Speed and DEA metric reporting with ETL pipelines, scheduled queries, and alerting mechanisms.
  • Write advanced SQL against large-scale data warehouses to perform root cause analysis on placement and transportation defects.
  • Develop Python-based automation for data processing, anomaly detection, and reporting workflows.
  • Build statistical models to quantify the impact of transportation disruptions on customer delivery promises.
  • Design and maintain dashboards and self-service analytical tools for stakeholders to detect problems before customer impact.

Conocimientos

Data analytics
Data engineering
BI tooling

Educación

Bachelor's degree or equivalent in Math, Engineering, Science or Business

Herramientas

SQL
Redshift
Athena
DynamoDB
Python
Pandas
Numpy
Boto3

Descripción del empleo

Amazon.com in Madrid is seeking an Operational Excellence Analyst to drive data-driven performance improvements across EU inbound supply chain. You will own analytics, build scalable data pipelines, and develop tools to identify defects and improve customer delivery outcomes.

You will write production-grade SQL, develop Python automation, design dashboards, and collaborate with cross-functional teams to translate findings into system changes that prevent issues and accelerate insight delivery.

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