At Amazon, we offer graduate students the opportunity to launch big careers with limitless possibilities. We know your search for a full-time roles isn’t just about the work. It’s also about finding a culture where you are energized and inspired. At Amazon, you’ll be surrounded by innovators who are building and making history.Get to know us by visiting www.amazon.com/about to:· Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Jeff’s 2017 Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year· Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn· Learn more about our commitment to our communities, diversity and military veterans· Learn more about our headquarters in Seattle and Nashville, as well as where we operate around the world.Finance at Amazon is about more than knowing the numbers. We are close partners and advisors to our business leaders, and we influence key decisions and strategy. We bring enthusiasm and customer passion to deliver new ideas and solutions. Do you view problems as treasures? Will you dive deep to develop innovative solutions and deliver results? Finance works with purpose and speed and the challenges we take on span multiple industries and functions across our many businesses and acquisitions, all powered by the same mission—to be Earth's most customer-centric company.Senior Financial Analysts (SFAs) have significant responsibility from the start to impact both business and financial decisions. SFAs evaluate and quantify new business ideas, execute controllership and reporting for their businesses, and perform data-intensive analyses, all to support significant change and improvement to the way we serve our customers.Job Responsibilities include:· Ability to manage or lead others and further develop exceptional talent· Expertise collecting, analyzing and managing quantitative data and creating meaningful reports to lead business improvement and cost reductions· Recommend, develop, and implement policies and programs that guide the organization in maintaining and improving its competitive position and profitability· Manage the development of all weekly and monthly financial close, all planning, forecasting, and reporting models and their continuous innovation and communicating to your Operations partners· Work with data source providers and technology teams to ensure that key decision data is accurate, automated and timely· Proven ability to manage a team with competing priorities & providing level-headed guidance during unexpected eventsAmazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
BASIC QUALIFICATIONS
Basic Qualifications
· Bachelor’s degree in Finance, Accounting, Business, Engineering and/or similar discipline with analytical bias
· 5+ years relevant experience in positions that require analysis and reporting financial results
· Experience with Excel macros, index, conditional list, arrays, pivots, and lookups
· Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
· 5+ years of experience performing financial and ad hoc analysis using data reporting tools in the supply chain & logistics areas.
PREFERRED QUALIFICATIONS
Preferred Qualifications
· 4+ years of full-time work experience
· 3+ years of corporate finance experience
· Committed to learning new things, taking ownership, and delivering results
· Comfortable working in a cross-functional, dynamic environment, managing multiple and sometimes competing priorities
· Ability to analyze financials, dive deep into data sets and provide innovative recommendations to management and business partners
· Ability to work with a diverse range of people to earn trust and build understanding
· Demonstrate strong leadership qualities with exceptional interpersonal and communication skills (both written and verbal) in order to influence other leaders in Finance and the business
· Access and knowledge of SQL