Finance Analyst — Planning, Analytics & Process Automation

Amazon; Irving (TX); On-site; USD 57,000 - 99,000; Full time

Job summary

Amazon in the United States, Texas, Irving, is seeking a Financial Analyst to support NACF planning and executive reviews. You will work with cross‑functional partners to convert data into actionable insights, build planning models, and ensure data integrity while driving cost improvements and controllership.

The role emphasizes ownership, scalable processes, and the use of automation and AI tools to streamline planning workflows in a fast-paced environment.

Qualifications

• 2+ years of finance experience
• 2+ years of Accounts Receivable or Accounts Payable experience
• 2+ years applying KPIs to analyses
• Bachelor’s degree in Finance, Accounting, Business, Economics or a highly analytical field
• Knowledge of Excel, Access, Oracle, Essbase, SQL and VBA
• Experience using data to influence business decisions
• Experience in corporate finance including budgeting, planning, forecasting and reporting

Responsibilities

• Support NACF planning cycles (OP1, OP2, QxG, 3YF) and consolidate inputs
• Build and maintain planning models and trackers and produce inputs
• Draft variance narratives and planning inputs under deadline
• Prepare backup analysis for planning reviews and leadership walkthroughs
• Translate data into clear formats and summaries for non-finance partners
• Collaborate with Field Finance, E2E FP&A, Supply Chain and Accounting
• Identify data discrepancies, document gaps and escalate with context
• Contribute to automation projects and create process documentation

Skills

Finance experience

Accounts Receivable

KPIs analysis

Excel

SQL

VBA

Education

Bachelor’s degree in Finance, Accounting, Business, Economics or a highly analytical field

Tools

TM1

Data Warehouse

SQL

Job description

Amazon in the United States, Texas, Irving, is seeking a Financial Analyst to support NACF planning and executive reviews. You will work with cross‑functional partners to convert data into actionable insights, build planning models, and ensure data integrity while driving cost improvements and controllership.

The role emphasizes ownership, scalable processes, and the use of automation and AI tools to streamline planning workflows in a fast-paced environment.