Role: Data Analyst (Logistics Risk)
Location: Santa Ana, CA 92707
Duration: 12+ Months (Extension based on performance)
Schedule: Monday–Friday | 8:00 AM–5:00 PM
About the Role
We are looking for a detail‑oriented Data Analyst to support the Risk Control team by analyzing logistics and operational data, identifying potential risks, and driving data‑based process improvements. This position combines data analytics, logistics knowledge, and cross‑functional collaboration in a fast‑paced environment.
Key Responsibilities
• Analyze logistics/operations data (SAP, TMS, WMS, ERP, claims systems) to detect risk patterns and operational gaps.
• Evaluate lease management risk categories: physical, data, measurement, damage, and data accuracy.
• Review KPIs to identify early‑warning indicators or risk exposure.
• Perform root cause analysis and present insights to leadership.
• Build dashboards, automated reports, and risk‑tracking tools.
• Collaborate with cross-functional teams to validate data accuracy and support audits/compliance.
• Translate complex data findings into actionable recommendations.
• Identify and implement process improvements; monitor results.
• Work with large data sets in Excel; build Macros for reporting automation.
• Track operational trends related to loss, damage, delay, and service failures.
Required Qualifications
• Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
• 2+ years in logistics analytics, operations analytics, or supply chain analysis.
• Strong Excel skills (Pivots, VLOOKUP/LOOKUP, data matching, Macros).
• Experience analyzing SAP or similar ERP data.
• Working knowledge of SQL; Power BI/Tableau is a plus.
• Experience with TMS/WMS or logistics performance metrics.
• Ability to handle large datasets and extract insights.
• Prior corporate environment experience preferred.
Top Skills
Advanced Excel (Pivots, Lookups, data comparison, Macros)
Strong analytical & problem‑solving skills
Excellent communication & cross‑functional collaboration
Preferred Competencies
• High attention to detail and data accuracy
• Ability to convert data into business insights
• Strong organization & follow-through
• Ability to thrive in fast-paced environments
• Proactive and solutions-focused mindset
Work Breakdown (Approx.)
• 50% Data analysis (Excel/SAP/logistics data evaluation)
• 25% Communication, collaboration, solution execution
• 25% Accuracy checks, error prevention, process improvement