As Finance Partner for EU Amazon Shipping, you'll partner with Operations teams and cross-functional finance groups to drive sustainable, profitable growth. You'll work with senior leaders across 5 EU country P&Ls, collaborating with Supply Chain, Operations, and Finance functions to deliver insightful analysis and timely guidance.

Key Responsibilities

Build Scalable Financial Mechanisms: Design and implement automated financial frameworks that scale across multiple countries and business lines, reducing manual effort while increasing accuracy and speed of decision-making

Drive Automation & Embrace AI: Lead the transformation of traditional finance processes through automation and AI-powered tools, enabling the business to scale efficiently from thousands to millions of packages

Lead Change Management: Champion new ways of working across finance and operations teams, establishing standardized processes that can be replicated across the expanding SWA network

Strategic Partnership: Work with transportation and finance teams to identify best practices, lead cost improvement initiatives, and develop mechanisms that support rapid business growth

Financial Innovation: Create flexible frameworks that adapt to network variability, new programs and enable dynamic modeling, turning complex multi-week analyses into real-time insights

Basic Qualifications

Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)

Experience in tax, finance or a related analytical field

Experience applying key financial performance indicators (KPIs) to analyses

Experience in building financial and operational reports/data sets that inform business decision-making

Experience in creating process improvements with automation and analysis

Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results

Preferred Qualifications

Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan

Experience in 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 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

XML job scraping automation by YubHub