Finance Manager, North America Transport Controllership

Amazon is seeking a Finance Manager to support Amazon Transportation Services, a leader in the global supply chain revolution through pioneering robotics, revolutionary automation initiatives, seeking sustainable solutions such as electric vehicles, and introducing one-day delivery for millions of products, in order to deliver billions of packages to delight customers.

The Finance Manager will own Financial Reporting and Analytics and ensure financial statements are correct in the transportation space for small parcels and last mile. Experience in this team opens up several career opportunities across Amazon. You will learn to produce insightful financial reporting, build robust and repeatable financial processes, controls, and perform in-depth analysis on transportation spend numbers. Given the nature of our business, you will learn to venture into unknown territory, and learn how to succeed in a new space.

This role partners across Transportation, Fulfillment, Supply Chain, and Technology teams to improve efficiencies while improving customer experience globally. This role works with business intelligence engineers, accountants, accounting managers, data engineers, program and product managers. This role creates a “learn by doing” environment by engaging with business and technology to promote and encourage continued customer focus. You will anticipate and resolve bottlenecks while balancing business needs and escalating where appropriate.

The successful candidate has demonstrated the following abilities: ability to develop insights using activity based costing, data analysis, econometrics, and statistics, and excellent verbal and written communication. This role will work in a dynamic environment working with some of the world's largest data sets in logistics costing. As such, the Finance Manager must combine excellent business analysis skills with the ability to derive actionable cost measures for consumption across Amazon.

Key job responsibilities
- Uses solid financial knowledge and business acumen to build financial models, interpret data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders throughout Amazon. These decisions can have global impact.
- Delivers weekly/monthly financial close. Uses financial systems, SQL, and advanced MSExcel functions to work with large data sets. Outputs analytical dashboards and reports, plans, forecasts, budgets, and consolidations.
- Drives continuous improvement and standardization of processes, including implementation of best practices in the controllership area.
- Supports financial reporting and operating planning, demonstrating finance acumen and ability to quickly adapt to different business needs.
- Prepares concise documents, tailored to various levels of stakeholders, and collaborates with operations’ leaders and other teams.
- Uses active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjusts style for various audiences to articulate complex finance issues clearly.
- Collects and analyzes quantitative data to develop relevant reports that drive cost reductions.
- Participates in hiring, developing, and mentoring peers and team members. Seeks and leverages diverse perspectives in all activities.
- Identifies opportunities to resolve defects proactively. Improves, scales, or simplifies finance tools across teams and organizations.

A day in the life
The Finance Manager blends advanced reporting, data analysis, critical thinking and project management skills while understanding and further developing financial applications. A typical day in this role provides an opportunity to resolve ambiguous problems, build analytical dashboards and reports, own month end close deliverables, work with tech partners to resolve technical issues and ensure successful accounting automation launch for month end close processes.

About the team
Transportation Controllership is a global finance team responsible for Financial Reporting activities, establishing Financial Control Frameworks and Advanced Analytics in the transportation space, including import, domestic inbound, warehouse transfer, and outbound shipments. We partner closely with transportation business units and tech teams as they work to continually refine and scale the business to keep pace with Amazon's rapid growth. Along with our partners in Accounting, we are responsible for the contractual and managerial closing of the books for Transportation spend.

Basic qualifications

- 5+ years of tax, finance or a related analytical field experience
- 5+ years of multiple finance and accounting roles experience
- 6+ years of Accounts Receivable or Account Payable 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
- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) 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) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results

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