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Data Analyst 1 (Korean Bilingual)

Job

Intac Solution

Santa Ana, CA (In Person)

$78,000 Salary, Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/4/2026

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Job Description

Data Analyst 1 (Korean Bilingual) Intac Solution Santa Ana, CA Job Details $33 - $42 an hour 2 hours ago Qualifications Data visualization software proficiency ERP systems Warehouse management system Business intelligence tools Supply chain management solutions (enterprise solutions) Data analysis software
Full Job Description Job Title:
Logistics Data Analyst 1 (#17098-1)
Position Details Role:
Data Analyst 1
Pay Rate:
Up to $42.00 / hr (W2)
Location:
3 MacArthur Place, Santa Ana, CA (Fully Onsite)
Duration:
12 Months (04/20/2026 - 04/19/2027)
Language:
Bilingual Korean (Strongly Preferred, not required) Role Summary The Logistics Risk Analyst serves as the analytical engine for the logistics risk management team. This role focuses on data-driven identification, analysis, and monitoring of risks, transforming complex operational data from TMS, WMS, and ERP systems into actionable business insights.
Top Skills Advanced Excel:
Mastery of Pivot Tables, VLOOKUP/XLOOKUP, and complex data matching/comparison.
Data Analysis:
Experience handling large datasets and performing root cause analysis.
Communication:
Ability to translate quantitative evidence into clear reports for management.
Key Responsibilities Risk Pattern Identification:
Analyze data from TMS, WMS, ERP, and claims systems to detect anomalies and risk patterns in the supply chain.
Monitoring & Dashboards:
Develop and maintain logistics risk dashboards, KPIs, and early-warning indicators for loss, damage, and service failures.
Reporting:
Prepare regular and ad-hoc quantitative analyses to support management review and audit processes.
Process Improvement:
Partner with IT and operations to improve data quality and recommend process enhancements based on data findings.
Root Cause Analysis:
Support operational teams with quantitative evidence and data modeling to prevent disruptions.
Qualifications Education:
Bachelor's degree in Data Analytics, Supply Chain, Engineering, Statistics, or a related field.
Experience:
2+ years of professional experience in logistics, operations, or supply chain data analysis.
Technical Tools:
Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.).
Industry Knowledge:
Familiarity with TMS/WMS systems and standard logistics performance metrics. Core Competencies High attention to detail and data accuracy. Ability to translate complex data into structured, easy-to-understand business insights. Strong problem-solving skills within a fast-paced environment.