DESCRIPTION
Please note: This job is advertised for Luxembourg but can be located in any of our EU sites or offices. We are seeking a Senior Analyst to own the analytical backbone across multiple high-impact domains within EU Inbound Supply Chain. This is not a single-metric reporting role you will design scalable data architectures, build production-grade analytics systems, and drive strategic decisions through data, working across both real-time streaming and batch processing to get the team the right data at the right time.
The ideal candidate pairs deep technical expertise in data engineering and analytics with the ability to influence cross-functional stakeholders and turn ambiguous business problems into measurable solutions. You're equally comfortable building scalable pipelines on AWS services over terabytes of data, architecting a real-time monitoring solution, presenting to senior leadership, or prototyping Gen AI tools to scale analytical capacity.

What makes this role unique Context-switching is the job - one week you're decomposing a delivery-accuracy variance across the EU network; the next you're building a real-time Inbound Management pipeline; the week after you're prototyping a Gen AI tool that auto-generates root-cause narratives for business reviews. Federated stakeholder model - you'll work across Engineering, Science, Transportation, Planning, Finance, and Operations. Aligning on definitions and building shared analytical frameworks matters as much as writing the code.
Gen AI as a force multiplier - you won't just use AI tools, you'll build them: agentic deep-dives, automated narrative generation, and intelligent alerting that scale analysis across inbound speed, DEA, and transportation optimization. Key job responsibilities 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 the latency, volume, and criticality at hand.
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