Senior Finance Analyst, E2e Network Design

il y a 2 jours


Luxembourg Amazon EU Sarl Temps plein

Amazon is seeking a high performing Senior Finance Analyst to partner with E2E Network Design driving EU Outbound network connectivity optimization within the current year (Peak, off-Peak) and beyond (1-3 years). As a Senior Finance Analyst, you will be partnering across Business units to make end-to-end optimal network decisions. You will own the financial framework to optimize network connectivity and identify opportunities to streamline/automate planning processes. You will directly influence business decisions, and the long-term strategy to improve Cost-to-Serve via network design improvements. This is an exciting role for a Senior Finance Analyst who enjoys analytics and is keen to influence business strategy. Key job responsibilities - Building scalable mechanisms to drive efficient network design for EU OB, including Sort Centers, Surface Transportation and AIR. - Leading financial analysis and due diligence to drive network connectivity decisions that improve Amazon cashflows - Engaging with partner teams to deep dive and improve network planning inputs across organizations (ATS, AMZL, CF, SWA, etc.) - Communicating financial impact of network decisions and changes in network metrics throughout the year and across planning cycles to senior leaders
- 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 in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)
- 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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