Finance Manager - AWS Supply Chain, AWS Supply Chain Finance

Key job responsibilities

• Lead finance controllership for one or more supply chain leaders, working directly with the AWS Supply Chain organization.
• Prepare and present financial summaries and business insights to Business and Finance Management.
• Build out and enhance financial models, develop business insights and KPI dashboards, and lead ad hoc analyses.
• Develop and implement long range business planning.
• Work with big data and transforming it into insights and information.
• Lead automation efforts of critical processes.
• Confirming compliance with current contracts and controls, while developing new processes and controls to support the growing, global AWS business.
• Identifying and driving process improvements, including creation of standard and ad-hoc reports, tools and templates.

Basic Qualifications

• 5+ years of tax, finance or a related analytical field experience
• 6+ years of applying key financial performance indicators (KPIs) to analyses 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
• Bachelor's degree in engineering, statistics or business
• 5+ years of dissecting financial data and identifying patterns that support business strategy experience
• 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience

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
• MBA, or CPA
• Knowledge of SQL/ETL
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos)
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results