Logistics Data Analyst
Newark, NJ
$70,000
Overview
A growing organization is seeking a highly analytical and detail-oriented Logistics Data Analyst to serve as the data expert for its Logistics department. This role is responsible for transforming complex operational data into meaningful insights that drive decision-making, improve performance, and provide financial visibility across logistics operations.
The ideal candidate enjoys solving business problems through data, identifying trends and root causes, and communicating findings clearly to both technical and non-technical stakeholders. This position plays a key role in supporting leadership through KPI reporting, dashboard development, operational analysis, and continuous process improvement.
Key Responsibilities
Operational Data & Decision Support
Produce accurate, timely, and actionable data to support operational and leadership decisions
Analyze logistics data to identify trends, risks, and opportunities
Validate operational initiatives and process improvements using performance data
Distinguish one-time anomalies from recurring operational issues
Financial & P&L Analysis
Analyze logistics costs, shipment economics, billing trends, and operational expenses
Identify cost drivers, variances, savings opportunities, and areas of cost leakage
Support Logistics leadership with P&L visibility and financial reporting
Partner with Finance to ensure reporting accuracy and data integrity
Reporting & Dashboard Management
Build, maintain, and improve KPI dashboards and operational scorecards
Define reporting logic and ensure metrics are clearly understood by stakeholders
Maintain recurring reports while responding to ad hoc analysis requests
Update reporting structures as business processes evolve
Project & Performance Analysis
Perform root-cause analysis for operational challenges and service issues
Measure project performance before and after implementation
Develop ROI analyses to support business decisions and process improvements
Provide data-driven recommendations to improve operational efficiency
Data Quality & Governance
Ensure logistics reporting is accurate, reliable, and consistent
Investigate discrepancies across multiple data sources
Document data definitions, assumptions, and calculation methodologies
Work w