Find & Apply For Logistics Engineer Jobs In Guilford, North Carolina
Logistics Engineer jobs in Guilford, North Carolina involve optimizing transportation routes, reducing costs, and improving efficiency. Responsibilities include analyzing data, collaborating with cross-functional teams, and implementing solutions to streamline operations. Candidates need a strong background in logistics, problem-solving skills, and proficiency in relevant software. Below you can find different Logistics Engineer positions in Guilford, North Carolina.
Jobs in Guilford
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Latest Jobs in Guilford
Salary Information & Job Trends In this Region
Logistics Engineers in Guilford, North Carolina play a crucial role in optimizing supply chain operations and ensuring efficient transportation and distribution of goods. - Entry-level Logistics Engineer salaries range from $50,000 to $60,000 per year - Mid-career Supply Chain Analyst salaries range from $70,000 to $80,000 per year - Senior-level Logistics Manager salaries range from $90,000 to $110,000 per year The history of Logistics Engineers in Guilford, North Carolina can be traced back to the Industrial Revolution when the need for organized transportation and storage of goods became apparent. Over time, with advancements in technology and globalization, the role of Logistics Engineers has become increasingly important in streamlining operations and reducing costs. The evolution of Logistics Engineers in Guilford, North Carolina has seen a shift towards data-driven decision-making, automation, and integration of artificial intelligence in supply chain management. This has led to increased efficiency and accuracy in forecasting demand, optimizing inventory levels, and improving overall logistics processes. Current trends in the field of Logistics Engineering in Guilford, North Carolina include the adoption of sustainable practices, such as green logistics and reverse logistics, to reduce environmental impact. Additionally, there is a growing emphasis on leveraging big data analytics and predictive modeling to improve supply chain visibility and responsiveness to market changes.
