Tustin Recruiting

Supply Chain Analyst Resume Template

A professional resume template tailored for Supply Chain Analyst positions, highlighting technical skills and project experience brought to you by Tustin Recruiting.

[Your Full Name]

Supply Chain Analyst

your.email@example.com (555) 555-5555 City, State LinkedIn Profile

Summary

Results-driven professional with experience in optimizing supply chain processes for efficiency and cost savings. Proven track record of delivering high-quality solutions and optimizing performance.

Skills

languages: SQL, Python
frameworks:
tools: SAP ERP, Oracle SCM, Tableau
concepts: Inventory Management, Demand Forecasting, Logistics Optimization

Experience

Senior Supply Chain Analyst

OptiChain Logistics

Jan 2022 - Present
  • Led a team of 5 analysts to streamline logistics operations, resulting in a 15% reduction in transportation costs.
  • Developed a demand forecasting model that improved inventory turnover by 10%.
  • Implemented a supplier scorecard system that increased supplier performance by 20%.

Supply Chain Analyst

Global Goods Inc.

Mar 2019 - Dec 2021
  • Optimized procurement strategies that saved the company $200K annually.
  • Analyzed supply chain data to identify inefficiencies, leading to a 12% improvement in order fulfillment speed.
  • Coordinated cross-functional teams to successfully launch a new distribution center, enhancing regional delivery capabilities.

Junior Supply Chain Analyst

LogiDepot Solutions

Jun 2017 - Feb 2019
  • Assisted in the development of a real-time tracking system that improved shipment visibility by 25%.
  • Collaborated in a team to reduce warehouse inventory discrepancies by 15%.
  • Contributed to the implementation of a new ERP system, facilitating smoother supply chain operations.

Education

B.S. in Supply Chain Management

University of Illinois at Urbana-Champaign, Champaign, IL

Graduated: 2017

Projects

Supply Chain Optimization Project

Developed an end-to-end supply chain strategy to enhance efficiency and reduce costs for a leading retailer. Employed advanced analytics and machine learning models to predict demand and optimize inventory levels.

Technologies: Python, R, Tableau