Finance Manager: AI Insights & KPI Storytelling

Amazon Web Services (AWS); Seattle (WA); On-site; USD 95,000 - 163,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Finance Manager to partner with Sales Marketing and Global Services, developing analytical insights, financial models, and storytelling narratives. You will navigate ambiguity, define problem spaces, establish frameworks, and create structure from complexity and incomplete data.

You will lead cross-functional initiatives, develop reporting metrics and narratives, and scale controllership through automation and process improvements.

Qualifications

• 5+ years of tax, finance or a related analytical field experience.

Responsibilities

• Serve as a key finance partner supporting Sales Marketing & Global Services leaders providing financial support and business insights.
• Perform ad-hoc analysis as needed and present findings to senior management.
• Integrating AI into internal process and analysis.
• Interact and ensure alignment across several stakeholders across Finance and Business teams.
• Ownership of key reporting metrics (KPI’s) and narratives to help business partners understand the business performance.

Skills

Finance experience

KPIs analysis

Financial reporting

Automation & analytics

Continuous improvement

Cross-functional leadership

Data-driven storytelling

Data analysis

Problem solving

Education

Bachelor's degree in BI/finance/engineering/statistics/computer science/math

MBA or CPA

Tools

SQL/ETL

Oracle

SAP

Cognos

Essbase

MS Access

JD Edwards

Lawson

Job description

Amazon.com Services LLC is seeking a Finance Manager to partner with Sales Marketing and Global Services, developing analytical insights, financial models, and storytelling narratives. You will navigate ambiguity, define problem spaces, establish frameworks, and create structure from complexity and incomplete data.

You will lead cross-functional initiatives, develop reporting metrics and narratives, and scale controllership through automation and process improvements.