Mid Level Data Analyst Supply Chain Warehouse Reporting Analytics

Position Overview

• Job Title:
  
  Data Analyst - Supply Chain Warehouse Reporting & Analytics
• Education:
  
  Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
• Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
• Job Type: Full-Time, Hourly

• Santa Ana, CA

• Medical Insurance (Health, Dental & Vision)
• 401(k)
• Paid Time Off
• H1B/Green Card Sponsorship for qualified employee
• Hands‑on experience at global industry leader Samsung
• Opportunities for career advancement

• Responsible for all points of data mining, extraction, manipulation, analysis, and reporting
• Develops and reports daily, weekly, and monthly analysis of key performance indicators related to warehouse operational metrics
• Provides critical analysis of costs associated with logistics, warehouse, and transportation operations
• Supports improvement opportunities and monitors discrepancies throughout the organization
• Works with cross‑functional teams to validate data and collaborate on operational insights

• Data & business analysis
• Data mining & extraction from multiple sources to build reports
• Daily, weekly, and monthly report generation
• Report automation & design
• Maintaining existing dashboards; weekly & monthly analysis and reporting
• Help drive critical business decisions through in-depth analysis; provide recommendations based on findings
• Develop models that help with decision‑making
• Identify opportunities for performance improvement
• Publish standard and complex ad‑hoc reports with varying detail for different audiences

• Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
• High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) required
• Experience with SAP and WMS (Warehouse Management Systems) required
• Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
• Excellent analytical, decision‑making, and problem‑solving skills
• Strong data mining skills and experience extracting & manipulating data from multiple sources
• Strong verbal and written communication skills; ability to interact with all levels of management
• Results driven; ability to handle multiple projects and work independently without supervision
• Must be comfortable working in a multi‑cultural business environment