Finance Manager, EU AMXL

About the role

The EU AMXL Finance team is looking for a Senior Financial Analyst to own the financial strategy and controllership across its Inbound and Middle Mile network. Amazon Extra Large (AMXL) manages the end-to-end fulfillment of heavy and bulky products across Europe, a strategic, high-growth segment. This is a senior individual contributor role for a finance leader who works with a high degree of autonomy, influences senior stakeholders and shapes decisions on network topology, rates and investments.

Key responsibilities

• Own the financial plan and long-range outlook for the area, building models and scenarios independently
• Lead analyses such as network topology, rate setting, cost-to-serve and business cases, presenting recommendations to senior leadership
• Challenge operational and business partner assumptions with data
• Act as a trusted finance partner to Director-level operations, planning and network leaders, translating financial trade-offs into clear narratives
• Own financial reporting integrity (month-end close, variance analysis, cost controls) and proactively identify control gaps and risks
• Invent and institutionalize mechanisms such as dashboards, automated reporting and planning tools
• Mentor junior analysts and contribute to hiring and development initiatives
• Drive process improvements that remove bottlenecks and speed up decision-making

Required profile

• Bachelor's degree in engineering, statistics or business, or a bachelor's degree with experience in a quantitative role (engineering, process re-engineering, quality assurance)
• Experience in multiple finance and accounting roles
• Experience applying financial KPIs to analyses and building financial and operational reports and data sets
• Experience creating process improvements with automation and analysis, and in continuous improvement projects

Required skills

• Preferred: knowledge of SQL/ETL and large-scale data mining and reporting tools (SQL, MS Access, Essbase, Cognos)
• Preferred: experience with financial systems such as Oracle, SAP, Lawson and JD Edwards
• Preferred: forecasting, budgeting and variance analysis, and data interpretation of results