CLOSED Data Analyst; Korean Bilingual
Job in
Santa Ana, Orange County, California, 92725, USA
Listed on 2026-06-18
Listing for:
Intac Solution
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Data Analyst, Data Mining, Data Warehousing, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Job Title:
Logistics Risk Analyst
Client:
Samsung
Rate: $38-$40
Work Location:
3 Mac Arthur Place, Santa Ana, CA, USA
Work Schedule:
Fully onsite
Length of Assignment: 12 months
Bilingual Requirement- Korean language skills not required but strongly preferred
- 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
- 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.
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
- 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
- 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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