Analyze logistics data to identify risk patterns and anomalies, develop dashboards and KPIs, and provide actionable insights. Strong analytical and quantitative skills required. Bachelor's degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
- Job Title: Recruiter - Data Analyst 2 - Logistics Risk Analyst
- Job Type: Regular Full Time
- Korean English Bilingual Highly Preferred
- Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field
- 3+ years of experience in logistics analytics, operations analytics, or supply chain data analysis
- 3 MacArthur Place, Santa Ana, California, US
- Medical Insurance (Health, Dental & Vision)
- Paid Time Off
- 401K
- H1B/Green Card Sponsorship for qualified employee
- Hands-on experience at global industry leader Samsung
- Opportunities for career advancement
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$43-45/hr
Top Skills
- Excel(Pivot, Lookup, data matching & compare)
- Communication
- Analysis
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.
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- 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.
- 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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- Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
- 3-6 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.
Our vision is ‘We Want to See You Grow’ to become the industry leader for both employee and company.
For more information about JND, please visit www.jndsolutions.com
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