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CLOSED Data Analyst ; Korean Bilingual

Job in Santa Ana, Orange County, California, 92725, USA
Listing for: Intac Solution
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 50 - 52 USD Hourly USD 50.00 52.00 HOUR
Job Description & How to Apply Below
Position: [CLOSED] Data Analyst 2 (Korean Bilingual)

Job Title:

Logistics Risk Analyst

Client:
Samsung

Pay rate: $50-$52

Work Location:

3 Mac Arthur Place, Santa Ana, CA, USA

Work Schedule:

Fully onsite

Bilingual Requirement
  • 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.
  • 3+ 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.
  • 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.
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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