**Bilingual Korean not required but strongly preferred
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.
Education and Years of Experience:
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.
