DESCRIPTION

Amazon Web Services (AWS) seeks a Finance Manager to be a key member in our AWS Sales FP&A team. This is an exciting opportunity to join one of our fastest growing business division within Amazon. As a Finance Manager, you will work closely with finance leaders to develop financial models and analytical insights to assist in evaluating new business concepts, turning insights into operational measurements, and identifying paths to improve the overall planning and forecasting process.
The ideal candidate is a proactive professional who possesses expert financial modeling capabilities, strong attention to detail, excellent project management skills, and communication abilities. You should also have proven experience in cross-functional collaboration.
This role offers an exceptional opportunity to make a significant impact while working with diverse teams across Amazon’s ecosystem.

Key job responsibilities

• Drive effective teamwork, communication, collaboration, and commitment across multiple groups with competing priorities.
• Streamline processes and lead improvement projects.
• Deliver impactful financial analysis to leadership teams and establish robust metrics to measure and enhance cost effectiveness.

BASIC QUALIFICATIONS

• 5+ years of tax, finance or a related analytical field experience
• Bachelor’s degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)

PREFERRED QUALIFICATIONS

• 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan 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)
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
• Knowledge of SQL/ETL
• 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
  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.
  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $85,900/year in our lowest geographic market up to $179,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site

• Drive effective teamwork, communication, collaboration, and commitment across multiple groups with competing priorities.
• Streamline processes and lead improvement projects.
• Deliver impactful financial analysis to leadership teams and establish robust metrics to measure and enhance cost effectiveness