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Logistics Analyst
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2026-01-01
Listing for:
QTS
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Employer Industry: Data Center and Supply Chain Management
Why consider this job opportunity- Bonus eligible and may be eligible for equity
- Competitive benefits package including medical, dental, vision, life, and disability insurance
- 401(k) retirement plan with flexible spending and HSA accounts
- Paid holidays, time off, volunteer days, and tuition assistance
- Opportunity for career advancement and growth within the organization
- Supportive and collaborative work environment focused on process improvement
- Develop, maintain, and enhance data tools to collect, analyze, and visualize logistics data from ERP systems
- Utilize forecasting models and analytical techniques to predict logistics needs and improve business practices
- Identify and implement process improvement opportunities in supply chain operations
- Build and maintain custom reports and dashboards to track supply chain metrics and support strategic planning
- Conduct data quality audits to ensure accuracy, consistency, and reliability in logistics reporting
- Bachelor’s degree in Logistics, Supply Chain Management, Data Science, Business Analytics, or a related field, or equivalent work experience
- 2+ years of experience in logistics, supply chain management, operations, or data analytics
- Proficiency in ERP systems (e.g., SAP, Oracle, Net Suite, or similar)
- Strong data analysis skills, with experience using tools such as Excel, SQL, or equivalent software
- Excellent written and verbal communication skills, with the ability to present insights clearly to management and stakeholders
- Experience working with data visualization and BI tools such as Power BI, Tableau, or Looker
- Familiarity with Python or R for advanced analytics and automation
- Experience with process automation tools (e.g., RPA, Power Automate) to improve operational efficiencies
- Knowledge of supply chain optimization strategies and industry best practices
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