Data Analyst - Logistics Job at Newegg, Ontario, CA

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  • Newegg
  • Ontario, CA

Job Description

Key Responsibilities:
  • Data Analysis & Reporting:
    • Analyze large datasets from TMS, WMS, ERP, and other sources to identify trends and improvement opportunities across logistics functions.
    • Build dashboards and generate reports on KPIs such as inventory turnover, transportation costs, order accuracy, and delivery performance.
  • Operational Optimization:
    • Collaborate with transportation, warehousing, and inventory teams to streamline operations, reduce inefficiencies, and improve delivery times.
    • Conduct root cause analysis and cost-benefit evaluations for process changes or system enhancements.
  • Vendor & Performance Management:
    • Monitor carrier and supplier performance (e.g., on-time delivery, service quality) and provide actionable feedback to internal stakeholders.
  • Technology & Systems Utilization:
    • Leverage tools like SQL, Excel, Tableau, WMS, and TMS to enhance decision-making and reporting capabilities.
    • Identify opportunities for automation and digitalization within logistics workflows.
  • Cross-Functional Collaboration:
    • Work closely with procurement, logistics, supply planning, and business intelligence teams to align analysis with broader business goals.
  • Continuous Improvement:
    • Stay up to date with supply chain trends and analytics best practices to drive innovation and efficiency within the logistics function.
Qualifications:
  • Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, Industrial Engineering, or a related field.
  • Master's degree preferred or current Master's students with relevant experience/internships encouraged to apply.
  • 1-3+ years of experience in logistics, supply chain analytics, or transportation data analysis.
  • Strong proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with logistics systems such as TMS, WMS, or ERP platforms.
  • Excellent analytical and problem-solving abilities with a keen attention to detail.
  • Effective communication and presentation skills; able to translate data into actionable insights for non-technical audiences.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

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