financial analyst Customer Fulfilment

Amazon’s Customer Fulfilment Finance team supports operational leaders by turning financial and operational data into insights for forecasting, planning, problem-solving, and decision-making. Customer Fulfilment operates a global network of fulfilment centres handling millions of orders every day.

• Build reports and financial models for forecasting, planning, problem-solving, and strategic decisions;
• Analyze performance drivers, identify root causes of variances, and propose actionable recommendations;
• Own recurring financial and operational reporting, ensuring accuracy and providing timely commentary to stakeholders;
• Build relationships with business partners and influence decisions through narratives, data, and analysis;
• Challenge assumptions when the data indicates a different conclusion;
• Lead or contribute to projects that scale processes, strengthen controllership, or add value;
• Automate processes, reduce defects, and simplify deliverables;
• Communicate findings clearly and concisely to finance and non-finance partners, including senior leaders;
• Build and maintain tools, SOPs, and documentation;
• Share knowledge and support colleague onboarding and development;
• Work independently on analysis while partnering with colleagues across the business;
• Visit operational sites from time to time to support analysis with operational context.

• Bachelor’s degree or above;
• Fluent English in speaking, writing, and reading;
• Experience in tax, finance, a related analytical field, or a quantitative role such as engineering, process re-engineering, or quality assurance;
• Experience using data to drive business decisions;
• Advanced Excel proficiency;
• Experience building and managing financial models for forecasting and problem-solving;
• Nice to have: A degree in Finance, Mathematics, Economics, or another relevant field; a Master’s degree, MBA, or related discipline; experience in forecasting, budgeting, variance analysis, and interpreting financial results; experience with SQL, MS Power Query, Python, Tableau, or large-scale data mining and reporting tools; experience evaluating AI systems; experience troubleshooting and streamlining complex challenges; experience influencing senior stakeholders; experience communicating complex concepts to diverse audiences across functions; experience in large teams or fast-paced corporate environments.

• Office-based role in London, England, United Kingdom.