Key job responsibilities
- Partner with vendor managers and category leads to develop financial frameworks that support strategic initiatives, build business cases, and assess return on investment for various grocery selection decisions.
- Own the complete P&L for a grocery category, diving deep into financial data to identify trends, opportunities, and risks that impact business performance.
- Design and deliver accurate, insightful financial models and analyses that drive business decisions, influence leadership thinking, and improve category profitability.
- Develop and maintain scalable reporting mechanisms that provide transparency into category performance, simplifying complex data into clear narratives for business partners.
- Navigate across organizations to collaborate on matrixed workstreams, connecting insights from various teams to create comprehensive solutions that drive business growth.
A day in the life
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.
BASIC QUALIFICATIONS
- 5+ years of tax, finance or a related analytical field 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 finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
PREFERRED QUALIFICATIONS
- 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
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 104,900.00 - 179,500.00 USD annually
USA, TX, Austin - 95,400.00 - 163,200.00 USD annually
USA, VA, Arlington - 95,400.00 - 163,200.00 USD annually
USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually