Job Information
Amazon Senior Financial Analyst, Amazon Devices in Luxembourg, Luxembourg
Description
Amazon seeks a Senior Financial Analyst to join the International Devices Finance team. Over the past decade Amazon has developed a number of leading, innovative, and fast-growing devices, including the Kindle eReader, Fire Tablets, Fire TV, and the Amazon Echo. The ideal candidate should be an innovative thinker who wants to work in a start-up like environment.
As a Finance Business Partner, you will provide support to the EU Devices Sales & Marketing teams and play a significant role in the launch of new products, pricing & promotional activities, Customer engagement initiatives and financial planning/analysis. You will also play a significant role in building reports with senior stakeholder visibility and raising the bar on controllership.
The successful candidate will have a passion for providing data-based decision making. You constantly look for areas of improvement, and implement automated solutions in order to reduce your manual work load to focus on delivering insights into the business.
Key job responsibilities
Analyze opportunities and develop financial models for strategies and business plans to grow the Device business
Develop key metrics and performance indicators to measure overall financial performance and provide foundation for continuous improvement
Own the coordination of various financial processes, including month-end close, forecasting, weekly & monthly business reviews and others for Amazon Devices
Partner with the Device product line business teams on key strategic initiatives and operational excellence
Basic Qualifications
Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)
Experience in financial modeling, P&L management or analysis
Experience in creating process improvements with automation and analysis
Experience with advanced use of SQL for data mining and business intelligence
Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
Preferred Qualifications
Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
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