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Korean Bilingual Data Analyst

Santa Ana, California, United StatesOnsiteFull Time$38–$40 /hrPosted 2 months agoVisa sponsorship available

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Job Title: Logistics Risk Analyst

Clint: Samsung
Rate: $38-$40
Work Location: 3 MacArthur Place, Santa Ana, CA, USA
Work Schedule: Fully onsite
Length of Assignment: 12 months
\*\*Bilingual Korean not required but strongly preferred
Education and Years of Experience:
1) Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
2) 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
Top Skills:
1. Excel(Pivot, Lookup, data matching & compare),
2. Communication
3. Analysis
Role Summary
Logistics Risk Analyst focuses on data-driven identification, analysis, and monitoring of logistics risks. This role serves as the analytical engine of the logistics risk management function, transforming operational data into actionable insights.
Key Responsibilities

  • Analyze logistics data from TMS, WMS, ERP, and claims systems to identify risk patterns and anomalies.
  • Develop and maintain logistics risk dashboards, KPIs, and early-warning indicators.
  • Track trends in loss, damage, delay, and service failures.
  • Support root cause analysis with quantitative evidence and data modeling.
  • Prepare regular risk reports and ad-hoc analyses for management review.
  • Partner with IT and operations teams to improve data quality and system integration.
  • Support audits, compliance reviews, and risk assessments with data analysis.
  • Recommend process improvements based on data findings.

Qualifications:

  • Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
  • 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
  • Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.).
  • Familiarity with TMS/WMS and logistics performance metrics.
  • Experience handling large datasets and building dashboards.

Core Competencies

  • Strong analytical and quantitative skills
  • High attention to detail and data accuracy
  • Ability to translate data into business insights
  • Structured analysis
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