Fulfillment BI Engineer - Model Explainability

Amazon; Barcelona; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Amazon in Spain seeks a Business Intelligence Engineer to own the analytics and explainability layer for Fulfillment Optimization systems that shape how packages flow, capacity is allocated, and network distribution is determined.

You will design pipelines, dashboards, and metrics to surface model behavior impacts on fulfillment performance, transportation cost, and delivery promises, using SQL, Python, and AWS services.

Formación

• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Responsabilidades

• Design and own explainability frameworks that decompose model outputs across multiple Fulfillment Optimization systems into interpretable, actionable signals for science, engineering, and business stakeholders
• Build analytical pipelines and dashboards that monitor output shape and quality, detect anomalies, and quantify the relationship between model behavior and fulfillment performance
• Partner with BIE and analytics teams to align on shared metrics, enable self-service data access, and connect optimization insights with network-level reporting
• Trace data lineage from source systems through model transformation to downstream consumption, and translate findings into recommendations that inform team prioritization decisions

Conocimientos

Data visualization

SQL

Python

Educación

Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Herramientas

AWS (EC2)

DynamoDB

S3

Redshift

Excel advanced

Descripción del empleo

Amazon in Spain seeks a Business Intelligence Engineer to own the analytics and explainability layer for Fulfillment Optimization systems that shape how packages flow, capacity is allocated, and network distribution is determined.

You will design pipelines, dashboards, and metrics to surface model behavior impacts on fulfillment performance, transportation cost, and delivery promises, using SQL, Python, and AWS services.