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Logistics Data Analysts

Overview

Logistics Data Analysts make sure products move smoothly from factories to warehouses to customers by studying data from shipping, trucking, air freight, and inventory systems. They use tools like spreadsheets, databases, GPS tracking, and data analytics software to measure things such as on-time delivery, shipping costs, and how often items are out of stock, then recommend better routes, schedules, and packaging to save money and reduce waste. They also help their companies choose environmentally friendly transportation options, write clear step-by-step procedures, and work with trucking companies, ocean carriers, and other partners to keep the entire supply chain efficient and reliable.
Logistics Data Analysts

Did you know?

American logistics companies increasingly require proficiency in advanced analytics software, AI tools, and supply chain management systems to remain competitive in the digital marketplace.

At a Glance

Growth

Stable

Top Skill

Equipment Maintenance

Key Responsibilities

  • Maintain logistics records in accordance with corporate policies.
  • Manage systems to ensure that pricing structures adequately reflect logistics costing.
  • Develop or maintain payment systems to ensure accuracy of vendor payments.
  • Prepare reports on logistics performance measures.
  • Reorganize shipping schedules to consolidate loads, maximize vehicle usage, or limit the movement of empty vehicles or containers.
  • Monitor industry standards, trends, or practices to identify developments in logistics planning or execution.
  • Determine packaging requirements.
  • Compare locations or environmental policies of carriers or suppliers to make transportation decisions with lower environmental impact.
  • Route or reroute drivers in real time with remote route navigation software, satellite linkup systems, or global positioning systems (GPS) to improve operational efficiencies.
  • Contact carriers for rates or schedules.
  • Remotely monitor the flow of vehicles or inventory, using Web-based logistics information systems to track vehicles or containers.
  • Recommend improvements to existing or planned logistics processes.
  • Apply analytic methods or tools to understand, predict, or control logistics operations or processes.
  • Confer with logistics management teams to determine ways to optimize service levels, maintain supply-chain efficiency, or minimize cost.
  • Communicate with or monitor service providers, such as ocean carriers, air freight forwarders, global consolidators, customs brokers, or trucking companies.
  • Develop or maintain freight rate databases for use by supply chain departments to determine the most economical modes of transportation.
  • Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs.
  • Identify opportunities for inventory reductions.
  • Contact potential vendors to determine material availability.
  • Review procedures, such as distribution or inventory management, to ensure maximum efficiency or minimum cost.
  • Enter logistics-related data into databases.
  • Write or revise standard operating procedures for logistics processes.
  • Interpret data on logistics elements, such as availability, maintainability, reliability, supply chain management, strategic sourcing or distribution, supplier management, or transportation.
  • Monitor inventory transactions at warehouse facilities to assess receiving, storage, shipping, or inventory integrity.
  • Provide ongoing analyses in areas such as transportation costs, parts procurement, back orders, or delivery processes.
  • Analyze logistics data, using methods such as data mining, data modeling, or cost or benefit analysis.
  • Develop or maintain models for logistics uses, such as cost estimating or demand forecasting.
  • Compute reporting metrics, such as on-time delivery rates, order fulfillment rates, or inventory turns.
  • Maintain databases of logistics information.
  • Track product flow from origin to final delivery.
  • Arrange for sale or lease of excess storage or transport capacity to minimize losses or inefficiencies associated with empty space.

Career Considerations

Technology Proficiency Requirements

American logistics companies increasingly require proficiency in advanced analytics software, AI tools, and supply chain management systems to remain competitive in the digital marketplace.

Geographic Mobility Advantage

Career advancement often benefits from willingness to relocate to major logistics hubs like Chicago, Los Angeles, or Atlanta where the highest-paying opportunities are concentrated.

E-commerce Industry Growth

The rapid expansion of online retail in the US creates strong job security and advancement opportunities for logistics analysts specializing in last-mile delivery optimization.

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