Strategic FP&A Analyst – Transportation Tech

Amazon; Bellevue (WA); On-site; USD 83,000 - 117,000; Full time

Benefits offered by this job

Health insurance

RSU

401(k) matching

Paid time off

Parental leave

Job summary

Amazon, a global leader in e-commerce and tech, seeks a Financial Analyst II to support Transportation Technology and Services FP&A. You'll own planning/reporting, translate complex data into insights, and partner with stakeholders to optimize resource allocation.

Your work influences decisions at senior leadership and helps drive efficiency across financial processes. 3+ years in finance-related roles, strong data mining tools experience, and collaboration with diverse teams are essential.

Qualifications

• 3+ years in tax, finance or related analytical field
• 3+ years dissecting financial data to support business
• 3+ years contributing to cross-functional initiatives that drive financial performance

Responsibilities

• Own financial planning and reporting processes; audit data and resolve discrepancies
• Analyze complex datasets and build financial reports; provide findings and recommendations
• Collaborate with cross-functional teams to align on reporting standards and implement controls
• Partner with stakeholders to translate metrics into actionable insights for resource allocation
• Mentor team members on financial processes and maintain tools and documentation

Skills

Financial analysis

Data analysis

Cross-functional collaboration

Strategic decision support

Education

Bachelor's degree

Tools

SQL

MS Access

Essbase

Cognos

Oracle

SAP

Lawson

JD Edwards

Job description

Amazon, a global leader in e-commerce and tech, seeks a Financial Analyst II to support Transportation Technology and Services FP&A. You'll own planning/reporting, translate complex data into insights, and partner with stakeholders to optimize resource allocation.

Your work influences decisions at senior leadership and helps drive efficiency across financial processes. 3+ years in finance-related roles, strong data mining tools experience, and collaboration with diverse teams are essential.