Description Amazon seeks a highly effective Senior Finance Analyst to be a key member of the Global Engineering Services (GES) Finance team. GES supports the greater Global Operations organization with end-to-end project lifecycle planning, design, execution, and integration. You will partner with the engineering leadership and team with an emphasis on identifying and supporting the team on driving efficiencies, synergies and productivity. This is an exciting opportunity to join one of the most innovative businesses at Amazon Key job responsibilities - Oversee financial reporting. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning. - Use data to identify disruptive ideas and provide advice to business leaders. With Controllership as the top priority, you identify, resolve, or provide guidance to resolve complex data integrity issues. - Educate business partners on financial and non-financial trade-offs. - Create effective business partnerships, manages competing priorities, and provides guidance based on data analysis during unexpected events. - Partner with services finance and operations leadership to build a bottoms up operating plan and establish key initiatives to achieve topline and bottom line targets. A day in the life This role will suit an individual who enjoys a fast pace and helps clarify ambiguous situations and is comfortable with working with multiple stakeholders No two days will be the same, but some examples of work include: 1) Partnering with the teams on headcount gearing modelling (forecasting headcount requirements based on project plans) 2) Supporting the teams during the planning cycle 3) Dive deep into current data and processes with a view to driving automation and efficiencies Basic Qualifications - Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields - Experience working with stakeholders, or experience in financial modeling, P&L management or analysis - Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python), or experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience building and managing financial models for business forecasting and problem solving Preferred Qualifications - Master's degree or above in Finance, Economics, Statistics, Business, or a related field - Experience working in a fast paced, quickly changing or international environment - Experience working with large global teams - Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy\_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.