Key Responsibilities:
- Build financial analysis models driving operational decisions across the Amazon network
- Designing a model to develop a centralized planning tool
- Bring insights and Benchmarking with other geos
- Partnering and collaborating with the respective stakeholders to share an Update on Free Cash Flow initiatives
-Working on cost out initiatives
- Working on long range plan, annual budgets etc
- Operations planning and cost planning for the Network
- Weekly, Monthly Variance Analysis & reporting
- Evaluate and improve methodologies that are the core of our business models and tools
- Collaborate with operations personnel to drive process, productivity improvements and cost savings initiatives
- Manage the Weekly, Monthly and Quarterly results reporting
- Facilitate financial review meetings with key partner business groups
- 5+ years of tax, finance or a related analytical field experience
- 5+ years of multiple finance and accounting roles experience
- 6+ years of Accounts Receivable or Account Payable experience
- 6+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of building financial and operational reports/data sets that inform business decision-making experience
- 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
- Bachelor's degree in engineering, statistics or business, 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
- 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, and variance analysis, and data interpretation of results