Logistics Data Analyst

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 with internal stakeholders to resolve data quality issues

Cross-Functional Collaboration

Present complex analysis in clear, actionable business terms

Partner with Logistics, Warehouse, Finance, Technology, and Operations teams

Translate business questions into meaningful data analysis and recommendations

Qualifications

Required

Strong analytical experience collecting, cleaning, organizing, and interpreting operational or financial data

Advanced Microsoft Excel skills with experience working with large datasets

Experience with reporting and business intelligence tools such as Power BI, Tableau, ThoughtSpot, SQL-based reporting, or similar platforms

Ability to explain data logic and findings in clear business language

Excellent attention to detail and commitment to data accuracy

Strong organizational skills with the ability to manage recurring reports alongside ad hoc requests

Experience investigating and resolving data discrepancies across multiple systems

Preferred

Experience in logistics, transportation, supply chain, warehousing, manufacturing, or distribution

Familiarity with TMS, WMS, ERP, shipping, routing, carrier, billing, or order management systems

SQL or database querying experience

Ideal Candidate

This role is ideal for someone who enjoys turning raw data into actionable insights, thrives in a fast-paced operational environment, and takes ownership of reporting accuracy. The successful candidate is naturally curious, detail-oriented, and able to influence business decisions through thoughtful analysis and clear communication.

To Apply

Email your resume to: [email protected]