

ektello
Logistics Risk Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Logistics Risk Data Analyst for a W2 contract of at least 12 months, onsite in Santa Ana, CA, with a pay rate of $40-50/hr. Requires a bachelor's degree, 3-6 years of logistics analytics experience, and proficiency in Excel, SQL, and BI tools. Bilingual Korean preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
March 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Ana, CA
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🧠 - Skills detailed
#Tableau #SAP #Compliance #Data Quality #"ETL (Extract #Transform #Load)" #Data Accuracy #Data Modeling #Statistics #Microsoft Power BI #SQL (Structured Query Language) #BI (Business Intelligence) #Datasets #Data Analysis #Monitoring
Role description
• W2 Contract, min 12 months
•
• ONSITE out of Santa Ana, CA
•
• Target $40-50/hr based on level of experience
•
•
• Bilingual Korean not required but strongly preferred
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
• Bachelors 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 (advanced Marcros), SQL, and BI tools (Power BI, Tableau, etc.).
• Familiarity with TMS/WMS and logistics performance metrics (SAP)
• Experience handling large datasets and building dashboards.’
• Strong business communication skills
• Strong analytical and quantitative skills
• High attention to detail and data accuracy
• Ability to translate data into business insights
• Structured analysis
•
• Bilingual Korean not required but strongly preferred
LI-KB1
• W2 Contract, min 12 months
•
• ONSITE out of Santa Ana, CA
•
• Target $40-50/hr based on level of experience
•
•
• Bilingual Korean not required but strongly preferred
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
• Bachelors 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 (advanced Marcros), SQL, and BI tools (Power BI, Tableau, etc.).
• Familiarity with TMS/WMS and logistics performance metrics (SAP)
• Experience handling large datasets and building dashboards.’
• Strong business communication skills
• Strong analytical and quantitative skills
• High attention to detail and data accuracy
• Ability to translate data into business insights
• Structured analysis
•
• Bilingual Korean not required but strongly preferred
LI-KB1






