Remote Industrial Engineer - Supply Chain Optimization

Placements24

Stellenbosch

Hybrid

ZAR 700,000 - 1,000,000

Full time

4 days ago
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Benefits offered by this job

Performance bonuses
Home office budget
Health and wellness benefits

Job summary

Placements24 is seeking an experienced Remote Industrial Engineer to optimize global supply chain networks and drive cost savings for clients worldwide. The role leverages a remote-first approach, collaborating with virtual teams of logistics experts, data scientists, and client stakeholders.

The candidate will analyze end-to-end processes, design data-driven solutions, and implement strategic improvements using Lean, Six Sigma, and advanced modeling tools.

Qualifications

  • Master's degree in Industrial Engineering, Supply Chain Management, Operations Research, or a related quantitative field.
  • Strong proficiency in data analysis and visualization tools.

Responsibilities

  • Conduct comprehensive analysis of global supply chain operations, including warehousing, transportation, and inventory management.
  • Develop and implement optimized network designs, routing strategies, and inventory policies to minimize costs and improve service levels.
  • Utilize advanced simulation and modeling techniques to forecast demand, assess capacity, and evaluate the impact of proposed changes.
  • Design and implement efficient warehouse layouts, material flow, and automation strategies.
  • Apply Lean and Six Sigma principles to streamline processes and eliminate waste throughout the supply chain.
  • Collaborate with cross-functional teams, including procurement, operations, and IT, to ensure seamless integration of supply chain initiatives.
  • Develop and maintain detailed process documentation, performance dashboards, and KPIs.
  • Analyze supply chain data to identify trends, risks, and opportunities for improvement.
  • Prepare and present detailed reports and recommendations to senior management and client teams.
  • Stay abreast of industry trends, emerging technologies, and best practices in supply chain management and industrial engineering.

Job description

About the Role

Our client is a global leader in logistics and supply chain management, currently seeking a highly motivated and experienced Remote Industrial Engineer to join their innovative virtual team. This role is centered around optimizing complex supply chain networks, enhancing operational efficiency, and driving significant cost savings for clients worldwide. As a remote-first organization, we leverage cutting-edge technology to foster collaboration and deliver exceptional results. The successful candidate will be instrumental in analyzing end-to-end supply chain processes, identifying inefficiencies, and designing data-driven solutions. You will work closely with virtual teams composed of logistics experts, data scientists, and client stakeholders to implement strategic improvements. This position offers the unique advantage of working from anywhere, providing flexibility while contributing to impactful projects that shape the future of global trade and distribution. Our client prides itself on a culture of continuous learning and innovation, supported by a robust remote work infrastructure.

Key Responsibilities
  • Conduct comprehensive analysis of global supply chain operations, including warehousing, transportation, and inventory management.
  • Develop and implement optimized network designs, routing strategies, and inventory policies to minimize costs and improve service levels.
  • Utilize advanced simulation and modeling techniques to forecast demand, assess capacity, and evaluate the impact of proposed changes.
  • Design and implement efficient warehouse layouts, material flow, and automation strategies.
  • Apply Lean and Six Sigma principles to streamline processes and eliminate waste throughout the supply chain.
  • Collaborate with cross-functional teams, including procurement, operations, and IT, to ensure seamless integration of supply chain initiatives.
  • Develop and maintain detailed process documentation, performance dashboards, and key performance indicators (KPIs).
  • Analyze supply chain data to identify trends, risks, and opportunities for improvement.
  • Prepare and present detailed reports and recommendations to senior management and client teams.
  • Stay abreast of industry trends, emerging technologies, and best practices in supply chain management and industrial engineering.
Requirements
  • Master's degree in Industrial Engineering, Supply Chain Management, Operations Research, or a related quantitative field.
  • A minimum of 6 years of progressive experience in industrial engineering or supply chain optimization, with a strong focus on remote project management.
  • Demonstrated expertise in supply chain network design, modeling, and simulation tools (e.g., AnyLogic, LLamasoft).
  • In-depth knowledge of Lean Manufacturing, Six Sigma (Green Belt or Black Belt certification highly desirable), and other operational excellence methodologies.
  • Proficiency in data analysis and visualization tools (e.g., SQL, Python, Tableau, Power BI).
  • Excellent analytical, problem-solving, and strategic thinking skills.
  • Exceptional communication, presentation, and interpersonal skills, with the ability to effectively manage remote teams and stakeholders.
  • Proven ability to work independently, manage multiple projects simultaneously, and meet deadlines in a virtual environment.
  • Experience with warehouse management systems (WMS) and transportation management systems (TMS) is a significant advantage.
  • Must have a dedicated home office setup with reliable high-speed internet connectivity.
Benefits

Our client offers a highly competitive compensation package, including performance bonuses, generous paid time off, health and wellness benefits, and a significant budget for professional development and home office setup. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a global team dedicated to innovation in the supply chain industry.

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