Logistics Data Analyst

Swift Staffing Group•Newark, NJ

4d•$70,000 - $70,000•Onsite

About The Position

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 analysis, identifying trends and root causes, and presenting 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. This is an excellent opportunity for a data-driven professional looking to make a measurable impact within a growing logistics organization.

Requirements

Strong analytical experience collecting, cleaning, organizing, and interpreting operational or financial data required
Advanced proficiency in Microsoft Excel required
Experience with reporting tools, dashboards, and KPI development preferred
Strong understanding of logistics, supply chain, or operations analytics preferred
Excellent analytical, problem-solving, and critical-thinking skills
Strong communication skills with the ability to present data to both technical and non-technical stakeholders
Ability to manage multiple priorities in a fast-paced environment

Responsibilities

Analyze logistics data to identify trends, risks, and operational opportunities
Produce accurate, timely, and actionable reports to support leadership decisions
Validate operational initiatives using performance data and analytics
Perform financial and P&L analysis, including logistics costs and operational expenses
Identify cost drivers, variances, savings opportunities, and cost leakage
Build, maintain, and improve KPI dashboards and operational scorecards
Develop recurring reports and perform ad hoc analysis as needed
Conduct root cause analysis for operational and service issues
Measure project performance before and after implementation
Develop ROI analyses to support business decisions and process improvements
Ensure data quality, consistency, and reporting accuracy across multiple systems
Investigate discrepancies and resolve data quality issues
Document reporting logic, data definitions, and calculation methodologies
Partner with Logistics, Warehouse, Finance, Technology, and Operations teams to provide actionable insights