Finance Manager, Amazon Flex Finance

Key job responsibilities

• Use solid financial knowledge and business acumen to build financial models, interpret data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders throughout Amazon.
• Collaborate with multiple finance teams and business partners to develop detailed financial plans that relate to operational metrics, and harmonize with the business' goals and capabilities.
• Educate business partners on financial and non-financial trade-offs and provide guidance and financial analysis for new projects and initiatives. You make thoughtful judgement calls in ambiguous environments where data may be scarce or difficult to procure.
• Identify opportunities to resolve defects proactively. Improve, scale, or simplify finance tools across teams and organizations.
• Participate in hiring, developing, and mentoring peers and team members.
• Querying (basic SQL preferred) and analyzing a broad array of financial and operations metrics, and translating discoveries into actionable insights.

About the team

Our teams is a strategic partner to the Flex Americas org under Nick Jones. We perform critical analyses and deliver insights to support decision making, and translate decisions back into financial narratives and plans. We also partner closely with our sibling finance teams: WW Flex FP&A, WW Flex Strategy, and APAC/EU Flex Finance to exchange best practices and continuously improve the quality and completeness of our craft, and to ensure that financial plans are in lock step with the business.

Basic Qualifications

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
• 5+ years of finance or a related analytical field experience

Preferred Qualifications

• MBA, or CPA
• 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