Description

This role can be available in London, Barcelona or Luxembourg.

At Amazon, we are working to be the most customer-centric company on earth. The Amazon Transportation network is building a world class middle and last mile operation, exceeding our customers' expectations by ensuring their orders are delivered as quickly, accurately, and cost effectively as possible.

The EU Demand Forecasting and Planning team is looking for an analytically driven Analyst with a passion for data and a strong automation mindset. This role sits at the intersection of business analysis and data analytics: you will own complex analytical problems end to end, from querying large-scale supply chain and logistics databases, through generating insights that influence planning decisions, to building the automated reports and tools that make those insights repeatable and scalable across the EU network.

You will work closely with EU-wide stakeholders, both senior leaders and peers, across planning, operations, and analytics functions. This is a role for someone who is as comfortable conducting a deep dive into demand patterns as they are building the automated pipeline that delivers that analysis daily without manual intervention.

Key job responsibilities
- Analyse complex supply chain and logistics datasets to identify trends, surface patterns, and conduct root cause deep dives that inform planning decisions.
- Translate analytical findings into clear, actionable recommendations for senior leadership and cross-functional partners.
- Design and build automated reports, dashboards, and data pipelines that make recurring analyses self-serve and scalable across EU.
- Develop production tools, websites, and ETL pipelines that replace manual processes with reliable, repeatable solutions.
- Support demand forecasting and capacity planning cycles with quantitative analysis and reports/tools.
- Become the subject matter expert on internal tools and systems, driving improvements in data quality, methodology, and analytical best practices.
- Leverage AI and GenAI to accelerate analysis, automate repetitive work, and uncover insights at scale.
- Collaborate with EU-wide stakeholders across multiple functions and countries to scope analytical questions and deliver data driven answers.