Strategic Finance Partner, Central Operations Europe

Amazon Inc.

Madrid

On-site

EUR 70,000 - 110,000

Full time

14 days+

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Job summary

Amazon EU SARL (Spain Branch) invites a Senior Financial Analyst to partner with Central Operations, connecting operational performance to the cost base across delivery stations in Europe and guiding productivity improvements.

You will lead financial planning for your area, own variance analysis, and collaborate with data and technology teams to automate recurring reporting, using AI tools to drive better decisions and cost efficiency.

Qualifications

A degree in Finance, Mathematics, Economics, or another relevant field.
Relevant experience in a finance role including partnering with a variety of stakeholders across the business.
Relevant experience in managing people.
Relevant experience working with Excel and large-scale data mining and reporting tools such as Python, SQL or Tableau.
Relevant experience in financial modelling.

Responsibilities

Own the financial partnership for a Central Operations area, connecting operational performance metrics to financial outcomes and identifying where cost is running ahead of plan.
Bring the analysis to business owners, sizing the opportunity, quantifying the trade-off, and influencing decisions, making thoughtful judgement calls in ambiguous environments where data may be difficult to procure.
Lead root cause analysis on variances spanning multiple sites or countries, separating controllable drivers from structural ones and designing scalable measurement that improves network efficiency.
Drive cost-out and efficiency opportunities within your area, contributing to the cross-functional programs that reduce cost and defects across the network.
Own the financial and operational planning for your area, producing a challenging yet solid plan and testing business assumptions where needed.
Communicate variance drivers and the actions to close them to Country Finance leads and senior stakeholders, turning analysis into decisions.
Partner with data and technology teams to automate recurring analysis, and support the adoption of the team's AI and automation tools across the wider finance community.