Finance Manager - Eu 3p, Eu Marketplace

• Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)
• Experience in multiple finance and accounting roles
• Experience applying key financial performance indicators (KPIs) to analyses
• Experience in building financial and operational reports/data sets that inform business decision-making
• Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results

At Amazon we are striving to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people. We are currently looking for a Finance Manager to join our EU marketplace team to support the Low ASP and Consumables business which is one of Amazon’s most exciting growth opportunities. Low ASP is recognized as one of the key focus areas for Amazon and is growing fast and requires talented finance professionals to help scale.
You will partner with key business leaders and global finance teams to identify opportunities to drive growth, provide timely analysis, insightful guidance, and financial leadership. This position will lead the finance activities, create scalable reporting mechanisms and analysis including creating new pricing models required to grow the 3P Low ASP and Consumables business.

Key job responsibilities

• Act as a Finance Partner working directly with 3P Low ASP and Consumables leadership
• Lead the financial planning and analysis processes with metrics and data insights for financial risks, opportunities, and investment decisions
• Lead the preparation of weekly, monthly, and annual business performance reviews
• Develop, report, and analyze key input metrics that support team goals
• Influence business decisions with effective communication skills, data driven analysis and modelling, and presentation of options and alternatives
• MBA, or CPA
• Knowledge of SQL/ETL
• Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results

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