As a Senior Finance Analyst, you will be partnering across Business units to make end-to-end optimal network configuration. You will own the financial framework to optimize volume flows. You will directly influence business decisions to improve system decisions and Cost-to-Serve. This is an exciting role for a Senior Finance Analyst who enjoys analytics and is keen to influence business strategy.
Key job responsibilities
• Building scalable mechanisms to drive efficient network design for EU OB, including Sort Centers, Surface Transportation and AIR.
• Leading financial analysis and due diligence to drive network connectivity decisions that improve Amazon cashflows
• Engaging with partner teams to deep dive and improve system inputs across organizations (ATS, AMZL, CF, SWA, etc.)
• Communicating financial impact of network decisions and changes in network metrics throughout the year and across planning cycles to senior leaders
BASIC QUALIFICATIONS
- Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)- Experience in tax, finance or a related analytical field
- Experience in multiple finance and accounting roles
- Experience in accounts receivable or account payable
- Experience applying key financial performance indicators (KPIs) to analyses
- Experience in building financial and operational reports/data sets that inform business decision-making
- Experience in creating process improvements with automation and analysis
- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
PREFERRED QUALIFICATIONS
- MBA, or CPA- Knowledge of SQL/ETL
- Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan
- Experience in 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 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
