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Finance Manager, FP&A Lead - Global Logistics, Inbound Transportation FP&A
DESCRIPTION
Amazon is seeking a highly analytical and resourceful Finance Manager, FP&A to support Amazon's Global Logistics Network. Amazon is continuously innovating on behalf of our customers to deliver more quickly and at lower prices. In this role, you will drive profitability and customer experience by directly impacting the development, planning, and execution of our Inbound supply chain network. The role will require quickly learning and fully grasping the business’s economics to understand the big picture, gaining proficiency in our data to capture the right details, and communicating clearly and succinctly to effectively partner with business leaders and influence decisions.
This person will work closely with the Inbound Reporting/Planning and Execution team as their strategic finance business partner. They will take a practical, down-to-earth approach to thoroughly understand the team's operations, identify cost savings opportunities, and own the process for securing financial entitlements. Through regular meetings and deep dives into data and performance metrics, they will gain insights into areas for optimization and process improvements. This analytical role will require the ability to translate complex financial information into clear, actionable recommendations that influence decision-making and drive profitability for the Inbound supply chain network.
Key Characteristics:
Advanced ability to deep dive data to build strategy and analytical models.
Proven ability to develop strategic relationships with your execution finance partners – you influence the decisions. You can root cause issues quickly and uncover core issues using data, then communicate your findings in a clear and concise manner.
Provide level-headed guidance during unexpected events
Proven expertise managing, evaluating, analyzing large data quickly to create meaningful business reporting
Ability to self-start and create direction in a rapidly changing and often ambiguous environment
Key job responsibilities
Key job responsibilities
Uses financial systems and advanced MS Excel functions to work with large data sets. Outputs plans, forecasts, budgets, and consolidations.
Works with a variety of data sources. Identifies incomplete or inaccurate data, identifies root causes of data issues, escalates discrepancies, fixes data where possible or partners to deliver a solution.
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.
Identifies and implements solutions to resolve, improve, automate, standardize, or simplify finance processes.
Makes thoughtful time management decisions independently. Prioritizes work, resolves issues, meets deadlines, and seeks feedback from your manager. Discerns between urgent and non-urgent issues and acts accordingly to solve them.
Drives own self-development in the Finance Community: seeks opportunities to expand finance expertise. Participates in events, initiatives, and projects, then shares gained knowledge in and outside of your team.
Contributes to work life harmony by being a positive, collaborative, and effective influence to new team members as an indicator of operations excellence.
About the team
The Inbound Transportation Finance Team is responsible for oversight of the consolidated P&L that comprises of Imports, Domestic Inbound, and Transfers and is responsible for getting inventory from Vendors to Fulfillment Centers (FCs) as well as moving inventory within the FC network in a cost efficient and timely manner.
BASIC QUALIFICATIONS
- 5+ years of tax, finance or a related analytical field experience
- 6+ years of creating process improvements with automation and analysis experience
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of finance or a related analytical field 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at
USA, TX, Irving - 95,400.00 - 163,200.00 USD annually
USA, VA, Arlington - 95,400.00 - 163,200.00 USD annually
USA, WA, Bellevue - 95,400.00 - 163,200.00 USD annually
