Job Details

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