Overview In this role you translate complex model outputs into actionable signals that drive Fulfillment Optimization. You own explainability frameworks, build pipelines and dashboards, and ensure data lineage from source to downstream consumption. You work with cross-functional teams to connect analytics to network-level metrics and operational decisions, using SQL, Python, and AWS analytics services.

You combine analytical rigor with scalable, maintainable solutions that reveal opportunities to improve fulfillment performance and delivery promises.

Responsabilidades Design and own explainability frameworks that decompose model outputs into actionable signals for multiple systems

Build analytical pipelines and dashboards to monitor output quality, detect anomalies, and quantify model behavior impact on fulfillment performance





Partner with BIE and analytics teams to align on shared metrics, enable self-service data access, and connect insights with network-level reporting

Trace data lineage from source through model transformation to downstream consumption and translate findings into prioritization recommendations

Requisitos principales Experience with data visualization using Tableau or QuickSight

Experience SQL data extraction and Python scripting for data processing

Bachelors degree or above in a quantitative field collaboration communication problem-solving

SQL

Python

Tableau or QuickSight

📌 Business Intelligence Engineer II, Fulfillment Optimization (Barcelona)
🏢 Amazon
📍 Barcelona