Senior Financial Analyst - EU Expansion Finance
Amazon
Luxembourg, LU
il y a 2j

Amazon EU Export and Expansion Finance team is looking for enthusiastic candidate to bring their experience, talent and passion to become part of designing, building and rolling out new customer-centric expansion initiatives across Europe.

As a Senior Financial Analyst, you will be entrusted with financial modelling to develop expansion business cases, assessing the impact of operational initiates on revenue and profitability, designing long-term financial plans, and presenting the outputs to the leadership.

  • You will collaborate with a wide range of business and finance partners covering every stage of Amazon consumer business, staring from network planning to after-sale support;
  • assess key financial and business metrics, and participate in regular sessions with the EU expansion business and finance leadership.

    Specific Responsibilities Include :

  • Building out short- and long-term financial plans, including topline and key operational costs projections.
  • Partnering with business teams to calculate and understand financial trade-offs and implications of key business decisions.
  • Developing end-to-end business cases and presenting recommendations to the leadership.
  • Maintaining a high level of knowledge across all business areas by staying current on initiatives, challenges and opportunities.
  • 5+ years of relevant finance experience
  • Masters / Bachelor’s degree in Finance, Accounting, Business, Mathematics or a similar field
  • Demonstrated ability to build and manage financial models for business forecasting, variance analysis, and problem solving
  • Advanced Excel modeling & analytical skills
  • Experience with SQL queries highly preferred but not required
  • Self-starter that attacks complex business problems with curiosity and dives deep to identify root causes
  • Strong analytic and communication skills, and have a passion for using data to drive business decisions
  • Deriving business insights from large volumes of data using data mining tools including proficiency in SQL, Databases and other coding mechanisms
  • Ability to meet tight deadlines, prioritize workload and achieve effective results in a fast-paced, dynamic, ever-growing and often ambiguous environment
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