Senior Data Analyst

📋 Description

• Build dashboards and automated reporting for core KPIs
• Analyze warehouse productivity and labor demand
• Diagnose refunds accuracy and quality; implement fixes
• Identify cost reductions across labor, materials, network
• Build predictive models and anomaly detection
• Partner on system improvements and cross-functional initiatives

🎯 Requirements

• Bachelor's degree in quantitative field; Master's preferred
• 7+ years in data/ops analytics; returns/reverse logistics preferred
• Expert SQL; large datasets
• Python or R for analysis
• Looker/Tableau/Sigma or similar dashboards
• Strong communication; translate data to action

🎁 Benefits

• Mission-driven team tackling meaningful challenges
• Flexible, inclusive workplace
• Equal opportunity employer
• Accommodations available upon request