Finance Manager — Last Mile Investment Analytics

Amazon; Arlington (VA); On-site; USD 95,000 - 163,000; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, etc

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Finance Manager for the Last Mile Investment Analytics team in NA. You will own the SSD investment analyses, partnering with Real Estate, Long Range Planning, Topology, and Launch teams to solve unstructured problems and influence capital decisions for the delivery network.

The role requires strong financial modeling, cross-functional partnership, and the ability to communicate insights to senior leaders. A data-driven mindset and high integrity are essential.

Qualifications

• Bachelor’s degree in finance or analytical field.
• 5+ years in finance; MBA/CPA preferred.
• Strong financial modeling and data storytelling abilities.

Responsibilities

• Design and build processes to improve accuracy, automation, and scalability of financial analyses.
• Own analyses from ideation through execution to maximize value for Amazon.
• Communicate data clearly to diverse audiences and influence decisions.
• Manage time, priorities, and deadlines while mentoring teammates.
• Proactively develop finance expertise and share knowledge across teams.
• Foster collaboration and drive operational excellence across stakeholders.

Skills

Finance analytics

Financial modeling

Stakeholder management

SQL/ETL

Data interpretation

Education

Bachelor's degree in finance, accounting, business

Master’s degree (preferred)

Tools

SQL

MS Access

Essbase

Cognos

Oracle

SAP

JD Edwards

Job description

Amazon is seeking a Finance Manager for the Last Mile Investment Analytics team in NA. You will own the SSD investment analyses, partnering with Real Estate, Long Range Planning, Topology, and Launch teams to solve unstructured problems and influence capital decisions for the delivery network.

The role requires strong financial modeling, cross-functional partnership, and the ability to communicate insights to senior leaders. A data-driven mindset and high integrity are essential.