Senior Financial Analyst: Last Mile Growth and Analytics

Amazon

Madrid

Presencial

EUR 55.000 - 75.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Amazon Road Transport Spain, S.L.U. is seeking a Senior Financial Analyst to join the AMZL Finance team in Madrid.

You will analyze logistics metrics, drive cost-out opportunities, and partner with business teams to inform strategic decisions while leading monthly closings and planning processes. The role emphasizes data-driven problem solving, cross-functional collaboration, and delivering actionable insights in a fast-paced environment.

Formación

  • Bachelor's degree in Finance, Economics, Statistics, Business or related field.
  • Experience with large-scale data mining & reporting tools (SQL, Power Query, Python) or Excel macros/pivots.
  • Experience with financial and statistical modeling.

Responsabilidades

  • Leverages Amazon Logistic metrics to identify cost out opportunities by linking operations and financials.
  • Understands the cost structure to make judicious calls where data may be limited.
  • Builds trusted partnerships to influence tactical and strategic business decisions for improvements and cost reductions.
  • Owns Financial and operational planning processes to produce a challenging and solid operational plan.
  • Owns month-end procedures including accruals and variance analysis between actuals, plan and forecast.
  • Supports knowledge-sharing and standardizes processes across EU teams.

Conocimientos

Financial modeling
Data analysis
Cross-functional collaboration
Stakeholder management

Educación

Bachelor's degree

Herramientas

SQL
Power Query
Python
Excel

Descripción del empleo

Amazon Road Transport Spain, S.L.U. is seeking a Senior Financial Analyst to join the AMZL Finance team in Madrid.

You will analyze logistics metrics, drive cost-out opportunities, and partner with business teams to inform strategic decisions while leading monthly closings and planning processes. The role emphasizes data-driven problem solving, cross-functional collaboration, and delivering actionable insights in a fast-paced environment.

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