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Logistic Data Analyst Jobs (NOW HIRING)

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 ...

Logistics Data Analyst

Woodland, CA · On-site

$60 - $80/hr

Universal Music Manufacturing & Logistics is seeking a logistics data analyst to support e-commerce and retail operations with analytics in the areas of distribution and transportation.This role is ...

Universal Music Manufacturing & Logistics is seeking a logistics data analyst to support e-commerce and retail operations with analytics in the areas of distribution and transportation. This role is ...

Universal Music Manufacturing & Logistics is seeking a logistics data analyst to support e-commerce and retail operations with analytics in the areas of distribution and transportation. This role is ...

$80 - $100/hr

Data Analyst** to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying, and analysis of logistics and ...

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data into actionable insights, identifying opportunities for cost savings and driving accountability. They ...

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying, and ...

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying, and ...

Data Analyst

Frederick, MD · On-site

$100 - $125/hr

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying, and ...

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data into actionable insights, identifying opportunities for cost savings and driving accountability. They ...

Data Analyst

Oak Park, IL · On-site

$65K - $80K/yr

LHH Is seeking a detail-oriented Logistics Data Analyst, in Oak Park, IL to support our growing transportation and logistics operations. This role will leverage data to improve decision-making ...

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Logistic Data Analyst information

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How much do logistic data analyst jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for logistic data analyst in the United States is $28.66, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.41 per hour, depending on experience, location, and employer.

What is a logistic data analyst?

Logistic Data Analysts are professionals who collect, analyze, and interpret data related to supply chain and logistics operations. They use statistical and analytical tools to improve efficiency, reduce costs, and enhance decision-making in transportation, warehousing, and inventory management. Their work often involves creating reports, forecasting trends, and identifying bottlenecks or opportunities for process improvement. Logistic Data Analysts play a crucial role in helping organizations optimize their logistics strategies and maintain a competitive edge.

How does a logistic data analyst typically collaborate with other departments within a company?

A Logistic Data Analyst frequently works cross-functionally, partnering with teams such as supply chain, procurement, operations, and IT. They gather input from these groups to ensure accurate data collection and understand business requirements, which helps them create actionable insights. Regular meetings and data-sharing sessions are common, as analysts must align their recommendations with real-world logistics challenges and strategic goals. This collaborative environment not only broadens their impact across the organization but also enhances opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a logistic data analyst, and why are they important?

To thrive as a Logistic Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in supply chain management or logistics, often supported by a relevant degree. Familiarity with data analytics tools like SQL, Excel, Python, and logistics management systems (such as SAP or Oracle) is typically required, along with certifications like CLTD (Certified in Logistics, Transportation and Distribution) being advantageous. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications enable analysts to optimize supply chain processes, drive efficiency, and support data-driven decision-making within logistics operations.

What is the difference between Logistic Data Analyst vs Supply Chain Analyst?

AspectLogistic Data AnalystSupply Chain Analyst
CredentialsDegree in logistics, supply chain, or related field; data analysis certificationsDegree in supply chain management, logistics, or business; data analysis certifications
Work EnvironmentLogistics companies, transportation firms, warehousesManufacturers, retailers, distribution centers
Employer & Industry UsageFocuses on transportation, freight, and logistics operationsOversees entire supply chain processes including procurement and distribution

While both roles involve data analysis within logistics and supply chain contexts, Logistic Data Analysts primarily focus on transportation and freight data, whereas Supply Chain Analysts oversee broader supply chain processes. The roles often overlap but differ in scope and specific responsibilities.

Are logistics data analysts in high demand?

Logistics data analysts are in high demand due to the increasing need for efficient supply chain management and data-driven decision making. Employers seek professionals skilled in data analysis, logistics software, and supply chain processes to optimize operations and reduce costs.

What degree do you need to be a logistic data analyst?

A logistic data analyst typically needs at least a bachelor's degree in fields such as logistics, supply chain management, data analysis, statistics, or business administration. Strong skills in data analysis tools like Excel, SQL, or Python are also important, and some roles may prefer or require a master's degree or relevant certifications.

What is the average salary for a logistic data analyst?

The average salary for a logistics data analyst typically ranges from $55,000 to $80,000 annually, depending on experience, location, and industry. Professionals in this role often use data analysis tools like Excel, SQL, and Tableau to optimize supply chain operations.

What cities are hiring for Logistic Data Analyst jobs?

Cities with the most Logistic Data Analyst job openings:

What states have the most Logistic Data Analyst jobs?

States with the most job openings for Logistic Data Analyst jobs include:

What are popular job titles related to Logistic Data Analyst jobs?

For Logistic Data Analyst jobs, the most frequently searched job titles are:

Logistics Data Analyst

Newark, NJ • On-site

Mai Placement
Recruiting and Staffing Services • 11 - 50 employees

Full-time

Re-posted 4 days ago


Key responsibilities

  • Analyze logistics data to identify trends, risks, and opportunities.

  • Build, maintain, and improve KPI dashboards and operational scorecards.

  • Perform root-cause analysis for operational challenges and measure project performance.


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.

To Apply

Email your resume to: ahuva@maiplacement.com