
location_on9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States
Are you ready to make a significant impact on one of Amazon's fastest-growing businesses? Join our team as a Financial Analyst III in our Perishable Grocery category, where you'll own the complete P&L for a category and serve as a strategic business partner to drive critical business decisions. In this role, you'll connect across multiple organizations in a matrixed environment, providing financial insights that directly influence selection and profitability for our grocery business. This position offers a unique opportunity to see the holistic picture of Amazon's grocery category impacts while applying your analytical expertise to solve complex business challenges.
You'll partner with vendor managers and category leads to surface meaningful analysis that informs strategic decisions in a fast-paced retail environment. If you thrive on turning data into actionable insights and are passionate about building trusted partnerships that drive business growth, this role provides the perfect platform to showcase your financial acumen and strategic thinking.
Your typical day involves collaborating closely with vendor managers and category leads to provide financial guidance on strategic decisions. You'll analyze category performance data, develop insights on profitability drivers, and work on ad-hoc projects that require quick problem-solving. Morning meetings might focus on reviewing financial results with business partners, while afternoons could involve developing models for new grocery initiatives or conducting deep-dive analyses to surface opportunities for business improvement.
Work model: On-site
9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States
New York, New York
Skills: SQL, Etl, MS Access, Essbase, Cognos, Oracle, Sap, Lawson, JD Edwards, Financial Modeling.
Education: Bachelor's degree in engineering, statistics or business required.
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; 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.