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The successful candidate will be a self-starter with a deep passion for controllership and proven ability for PnL stewardship. This is a great opportunity for some one looking to broaden their end to end PnL management experience while influencing complex business decisions and deep diving high growth initiatives. Additionally, this person will cross-functionally senior leaders across operations, retail category, merchandising and advertising and marketing teams to ensure we are striking optimal trade-offs for decision support.
Key job responsibilities
- Serve as the Finance leader for the heavy bulky categories working directly with Category leaders to drive Business forward
- Lead PnL reviews and present Profitability insights
- Perform financial reporting, ad-hoc business analyses and financial modeling
- Contribute to business decisions through insightful analysis, factoring in end-to-end impact to systems, and financial controls
- Lead and influence continuous improvement opportunities through automation
- Serve as PnL steward, facilitating reviews with cross-functional partners and educating other stakeholders on topline vs bottom-line trade offs and Profit drivers
- Partner with Category teams and Supply chain on accurate, timely forecasts that capture category-specific nuances like seasonality
Basic Qualifications: - 5+ years of tax, finance or a related analytical field experience
- Bachelor's degree in finance, accounting or related field
- 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience
- 5+ years of dissecting financial data and identifying patterns that support business strategy experience Preferred Qualifications: - MBA, or CPA
- Knowledge of SQL/ETL
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
- 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
- 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.
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