Senior Financial Analyst, WWSO Finance

The AWS Worldwide Specialists Finance (WWSO) team is looking for a Finance Manager to collaborate with senior business and finance leaders in the Specialists organization. You'll spearhead data-driven investment decisions, financial planning, and controllership, directly impacting our global strategy and revenue growth.

• Develop and maintain key performance indicators (KPIs) and analytics dashboards for WWSO Core leadership, including productivity metrics
• Design and implement advanced financial models and analytical tools to support critical decision-making
• Create and implement business mechanisms that are scalable to help your business partners make data-driven decisions
• Conduct in-depth analysis and present findings directly to senior leaders
• Lead the annual financial planning and budgeting process

• Support existing business review mechanisms (WBR, MBR etc.) and build new metric frameworks for Geo Specialist coverage. Work with teams on get-to-green plans, and measuring and assessing future risks.
• Analyze key pipeline and productivity metrics to drive business investment and outcomes

This role sits within a deeply collaborative team that operates at the intersection of strategy and execution, forging senior-level business partnerships and enabling Go-To-Market solutions spanning the full portfolio of AWS Services and the corresponding Sales teams.

• 3+ years of tax, finance or a related analytical field experience
• 4+ years of creating process improvements with automation and analysis experience
• 3+ years of dissecting financial data and identifying patterns that support business strategy experience
• 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
• Bachelor's degree in finance, accounting or related field

• 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• MBA, or CPA
• Knowledge of Tableau
• 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)