Logistics Risk Analyst - Data Insights & Dashboards

Judit Inc; Santa Ana (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

Judit Inc. in Santa Ana, CA, seeks a Logistics Risk Analyst to transform operational data into actionable insights. You will analyze data from TMS, WMS, ERP, and claims systems to identify risk patterns and build dashboards and KPIs.

The role requires 3–6 years in logistics analytics, strong Excel/SQL and BI skills, and the ability to support audits and process improvements through data-driven evidence.

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.

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.

Skills

Excel

Query and formula

Communication

Analysis

Education

Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field

Tools

SQL

Power BI

Tableau

Job description

Judit Inc. in Santa Ana, CA, seeks a Logistics Risk Analyst to transform operational data into actionable insights. You will analyze data from TMS, WMS, ERP, and claims systems to identify risk patterns and build dashboards and KPIs.

The role requires 3–6 years in logistics analytics, strong Excel/SQL and BI skills, and the ability to support audits and process improvements through data-driven evidence.