EU Financial Analyst, Transportation

Job summary

Amazon is seeking an analytical and resourceful Financial Analyst (FA) to support the fast growing Expansions space in the EU Transportation team. In this role, you will be responsible for providing analytical support to the business/financial leadership team by monitoring operational performance and identifying improvement opportunities. You will also get the opportunity to work closely with a variety of stakeholders, including Retail finance, Controllership, BI, Supply Chain and Transportation teams to build multi-billion dollars financial plans. On top of the above, you will be in charge of driving initiatives to improve financial planning and reporting efficiency, develop new bridging / forecasting tools and establish new key performance metrics where appropriate.

Primary responsibilities will include:

• Compiling and reviewing financial results and plans and communicating results to company leaders.

• Equipping management with regular actionable reporting to enable decision making.

• Driving team productivity by automating and outsourcing reporting and analysis.

• Establishing and driving variance analysis processes on an ongoing basis

• Building technical solutions to support planning cycles

The role will require quickly learning and fully grasping the business economics to understand the big picture, gaining proficiency in our data systems to capture the right details, and communicating clearly and succinctly to effectively partner with business leaders and influence decisions. The successful candidate will have the ability to tackle multiple projects and efficiently execute deliverables. The position will also require to be strategic, analytical, and have the demonstrated ability to work effectively with cross-functional teams.

BASIC QUALIFICATIONS

• BA/BS degree in Finance, Economics, Accounting, Engineering or other fields with an analytical focus

• Corporate finance or related analytical experience

• Intermediate to advanced experience working with large-scale data mining and reporting tools (i.e. SQL, MSAccess, Python, Essbase and/or Cognos)

• High proficiency in Microsoft Excel (VBA, macros)