Job Title

DescriptionSenior Financial Analyst - NASC Finance Description North America Sort Center (NASC) Finance supports Amazon's critical logistics infrastructure across 116+ sort centers throughout North America. Sort Centers are a cost, speed, and capacity solution within Amazon's Middle Mile Transportation Network, offering Manual and Auto Sortation, Cross Dock, Amazon Robotics (AR), and Retrofit capabilities. In NASC Finance, you will work with exceptionally talented, bright, and driven people who believe financial partnership is critical to operational success. We benefit from diverse experiences and perspectives and are committed to inclusion as a business advantage and the right thing to do. As part of an asset-heavy business requiring billions of dollars in investments annually, you'll have the opportunity to influence financially material decisions and work directly with L8 and L10 leaders. This is a chance to work hard, have fun, and make history. We are seeking a Senior Financial Analyst to join our Sort Center Finance team. You should be passionate about producing financial analysis that enables management to make breakthrough decisions, drive operational excellence, and ultimately delight our customers. Key job responsibilities u2022 Create effective business partnerships, manages competing priorities, and provides guidance based on data analysis. u2022 Present financial summaries and business insights to Senior Management (Business and Finance). u2022 Develop financial models for new business concepts and resulting financial impact to help drive data driven decision making. u2022 Build out and enhance models for new and existing businesses, develop business insights and KPI dashboards, and lead ad hoc analyses. u2022 Identify opportunities to resolve defects proactively. Improves, scales, or simplifies finance tools across teams and organizations.Basic Qualifications- 3+ years of tax, finance or a related analytical field experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience - Experience with advanced use of SQL for data mining and business intelligence - Experience in financial modeling, P&L management or analysisPreferred Qualifications- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - MBA, or CPA - 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) 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 for more information. If the country/region youu2019re applying in isnu2019t 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, and 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, and parental leave. Learn more about our benefits at . USA, NY, New York - 73,600.00 - 128,800.00 USD annually USA, TN, Nashville - 60,200.00 - 105,400.00 USD annually USA, TX, Irving - 66,900.00 - 117,100.00 USD annually USA, WA, Bellevue - 82,700.00 - 117,100.00 USD annually