Logistics Data Analyst: Insight-Driven Ops & Dashboards

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

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.