- 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), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) 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, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) 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 creating process improvements with automation and analysis experience
- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.
As an FP&A Finance Manager, you’ll provide the visibility we need to drive AWS forward. Finance teams are a constant adviser to the business. When our finances and performance are optimized, we can keep delivering an excellent experience for our customers and find new ways to support them. This role gives you the opportunity to see how we make business decisions as you gather all the insights that we need to shape our future.
Working in close partnership with our Sales, Sales OPs, and local and central Finance leaders, you are someone who knows how to influence through others to get things done. Success is all about driving operational rigor and excellence through proactive process planning and automation of regular cadences. You will earn trust by making business recommendations that are actionable, data-driven, precise, and reflect customer and business-segment nuances and relevancy.
Key job responsibilities
- Provide financial commentary, variance explanations, business insights, and risk & opportunities assessments to new and existing business mechanisms (e.g. revenue forecasting, expense management, allocations, etc.).
- Partner with BIE teams to ensure data integrity, accuracy and on-time reporting.
- Lead controllership mechanisms in order to achieve the highest degree of rigor in our financial results.
- Act as AWS’s single-threaded-owner for Specialist cost allocations, providing a granular understanding of allocation inputs, outputs, and drivers.
- Partner with the business team to deliver deep-dive analyses, highlighting business opportunities and risks, contributing and influencing the next generation of Specialist metric, MBR, and xBR reporting.
