Financial Analyst II - Data-Driven Forecasts & Insights

Socket.dev; Arlington (VA); On-site; USD 112,000 - 117,000; Full time

Job summary

AMAZON.COM SERVICES LLC in Arlington, VA seeks a Financial Analyst II to analyze financial data, build models, and prepare reports for leadership. You will collaborate across upstream business, operations, and technology teams to develop scalable O2C and P2P processes, identify cost improvements, and support strategic decisions.

The role requires a Bachelor's in a related field and 4 years of experience, with advanced Excel, SQL, and BI tool proficiency.

Qualifications

• Bachelor's degree or foreign equivalent in Finance, Accounting, Business, Economics or related analytical field.
• Four years of experience in finance, accounting or related occupation.
• Experience with financial modeling, forecasting and variance analysis.
• Proficiency with advanced Excel (VLOOKUP, Pivot) and BI tools (Tableau, SQL, Cognos).

Responsibilities

• Analyze financial data and build models to support decision making.
• Prepare monthly, quarterly, and annual financial reports and forecasts.
• Conduct variance analyses against goals and forecasts.
• Develop dashboards and metrics to track KPIs across functions.
• Collaborate with cross-functional teams to improve O2C and P2P processes.
• Provide actionable insights and recommendations for cost optimization.

Skills

Financial modeling

Accounts payable

Accounts receivable

Forecasting

Excel (VLOOKUP, Pivot)

Tableau

SQL

BI tools

Education

Bachelor's degree in Finance/Accounting/Business/Economics or related field

Tools

Tableau

SQL

MS Access

Essbase

Cognos

Oracle

SAP

JD Edwards

Lawson

Job description

AMAZON.COM SERVICES LLC in Arlington, VA seeks a Financial Analyst II to analyze financial data, build models, and prepare reports for leadership. You will collaborate across upstream business, operations, and technology teams to develop scalable O2C and P2P processes, identify cost improvements, and support strategic decisions.

The role requires a Bachelor's in a related field and 4 years of experience, with advanced Excel, SQL, and BI tool proficiency.