Senior Finance Analyst: Data-Driven Growth & Forecasting

Amazon; Dallas (TX); On-site; USD 67,000 - 117,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Dallas, TX is seeking a Senior Financial Analyst to support NA EF Finance across multiple networks. The role emphasizes financial modeling, reporting, forecasting, data automation, and business insight with strong SQL and advanced Excel skills.

You will work with Finance, Operations, and Supply Chain partners to drive cost efficiency and performance at scale. Key responsibilities include building analyses, automating tools, presenting to leadership, and delivering

Qualifications

• Bachelor's degree in finance, accounting, business, economics, or related analytical field.
• 3+ years of tax, finance or a related analytical field experience.

Responsibilities

• Build models and analyses with Finance and Operations partners, drawing conclusions and recommendations.
• Identify opportunities to automate and standardize finance tools and processes.
• Provide analysis to leaders to support operational and growth decisions.
• Deliver operations and cost planning for the network.
• Collaborate with operations to drive productivity improvements and cost savings.
• Manage weekly, monthly and quarterly results reporting.
• Lead financial review meetings with partner groups.
• Solve data integrity issues with stakeholders and maintain high standards.
• Develop scalable data analysis processes and clear data communication.

Tools

SQL

MS Access

Essbase

Cognos

Oracle

SAP

Lawson

JD Edwards

Job description

Amazon.com Services LLC in Dallas, TX is seeking a Senior Financial Analyst to support NA EF Finance across multiple networks. The role emphasizes financial modeling, reporting, forecasting, data automation, and business insight with strong SQL and advanced Excel skills.

You will work with Finance, Operations, and Supply Chain partners to drive cost efficiency and performance at scale. Key responsibilities include building analyses, automating tools, presenting to leadership, and delivering