Finance Manager, AWS Real Estate Finance
Amazon.com Services LLC•3h ago
United StatesOnsite$95.4K–$163.2KFull-timeMid Level5+ yrs exp
H-1B verified · 2310 LCAs
- Amazon Web Services (AWS) seeks a Finance Manager to lead strategic financial initiatives for our Real Estate Finance team. This high-visibility role offers the opportunity to directly influence the financial strategy for AWS's global data center expansion. This role will partner with senior leadership to drive financial strategy, operational excellence
- optimize strategic capacity plans. Key job responsibilities - Lead strategic financial planning and analysis for complex business initiatives - Develop and implement financial strategies that support long-term business growth - Build and manage relationships with senior business partners - Provide financial oversight and guidance for major business decisions - Drive process improvements and automation initiatives - Establish and maintain robust financial controls and reporting mechanisms About the team Our Real Estate Finance team supports the development of new data centers for Amazon Web Services (AWS). At AWS, you'll have the opportunity to work alongside exceptionally talented, bright
- driven individuals who believe that world-class financial partnership is critical to customer success. We thrive on diverse experiences and perspectives
- we're committed to inclusion as a business advantage and the right thing to do.
- 5+ years of tax, finance or a related analytical field experience - Bachelor's degree in finance, accounting, business, economics
- a related analytical field (e.g., engineering, math, computer science)
- Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience - 5+ years of dissecting financial data and identifying patterns that support business strategy experience - 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience - 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis
- recommendations that have a proven impact on business (e.g., financial savings, operational improvements
- customer benefits) experience - MBA
- CPA - Knowledge of SQL/ETL - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) - Experience delivering forecasting, budgeting
- data interpretation of results Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
- location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually
Required skills
financefinancial analysisSQLETLdata miningreportingOracleSAPLawsonJD Edwardsforecastingbudgetingvariance analysis