Reverse Logistics Finance Analyst: Forecasting & Insights

Socket.dev; Sunnyvale (CA); On-site; USD 74,000 - 129,000; Full time

Benefits offered by this job

Sign-on payments and RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks a Financial Analyst to support the Reverse Logistics Operations by building forecasting models and repair-cost forecasts across product lines. You will interact with executives and cross-functional teams to drive decision-making.

This role requires strong data collection, SQL modeling, and communication skills, with insights presented to influence strategic choices and improve processes. Collaboration across business lines is essential.

Qualifications

• 3+ years in tax, finance or related analytical field.
• 3+ years applying KPIs to analyses.
• 3+ years identifying and executing improvements to tools and processes.
• Bachelor's degree in BI/finance/engineering or related field.
• Experience with SQL for data mining and BI.
• 3+ years dissecting financial data to support strategy.

Responsibilities

• Build forecasting models for returned units and warranty expense across product lines.
• Develop break-even models to support end-of-repair decisions.
• Coordinate month-end and quarter-end close processes.
• Build models and metrics, and prepare commentary for weekly/monthly/quarterly reviews.
• Design scalable financial processes that grow with the business.
• Partner with BI Engineering to enhance internal dashboards.
• Audit dashboard data regularly for accuracy.

Skills

SQL for data mining

KPIs analysis

Cross-functional collaboration

Financial modeling

Data interpretation

Attention to detail

Education

Bachelor's degree in BI/finance/engineering

Tools

Tableau

SQL

Oracle

SAP

MS Access

Job description

Amazon seeks a Financial Analyst to support the Reverse Logistics Operations by building forecasting models and repair-cost forecasts across product lines. You will interact with executives and cross-functional teams to drive decision-making.

This role requires strong data collection, SQL modeling, and communication skills, with insights presented to influence strategic choices and improve processes. Collaboration across business lines is essential.