Logistics Data Analyst

Unclassified; United States; On-site; USD 60,000 - 81,000; Full time

Job summary

Unclassified in Newark, NJ seeks a Logistics Data Analyst to transform operational data into actionable insights. The role focuses on KPI reporting, dashboard development, and financial visibility across logistics operations.

The ideal candidate will analyze data trends, support leadership with data-driven decisions, and collaborate with cross-functional teams to improve performance and reporting accuracy.

Qualifications

• Strong analytical experience with data collection, cleaning, and interpretation.
• Advanced Excel skills for large datasets and complex calculations.
• Experience with BI tools (Power BI, Tableau, ThoughtSpot) and SQL-based reporting.
• Ability to explain data logic in clear business terms.
• Excellent attention to detail and data accuracy.
• Strong organizational skills to manage recurring and ad hoc reports.
• Experience resolving data discrepancies across systems.

Responsibilities

• Produce accurate, timely data to support operational and leadership decisions.
• Analyze logistics data to identify trends, risks, and opportunities; validate initiatives with performance data.
• Build and improve KPI dashboards and scorecards; update reporting structures as processes evolve.
• Conduct root-cause and ROI analyses to support improvements in efficiency and cost control.
• Ensure data quality across multiple sources and document definitions and methodologies.
• Collaborate with Logistics, Warehouse, Finance, Technology, and Operations teams to translate business questions into analyses.

Skills

Analytical thinking

Data wrangling

Communication

Attention to detail

Reporting

Tools

Power BI

Tableau

ThoughtSpot

SQL

Job description

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.