**Bilingual Korean not required but strongly preferred
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.
Top Skills:
- Excel(Pivot, Lookup, data matching & compare),
- Communication
- 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