Industrial Engineer

About the Role

We are seeking a detail-oriented and analytical Industrial Engineer to support the optimization, design, implementation, and management of complex manufacturing, operational, and supply chain systems. In this role, you will bridge the gap between production operations, engineering technology, and data analytics to optimize process efficiency, resource utilization, quality standards, and workflow throughput across industrial and organizational facilities.

Key Responsibilities

• Process Engineering & Optimization: Analyze, design, and streamline production workflows, assembly lines, and operational layouts. Identify bottlenecks, conduct time-and-motion studies, and enforce lean manufacturing and industrial engineering standards.
• System Design & Workflow Implementation: Participate in User Acceptance Testing (UAT), facility layout design, standard operating procedure (SOP) development, and the implementation of automated or data-driven validation checks aligned with operational targets.
• Statistical & Operational Support: Perform exploratory data analysis and generate routine summary reports, dashboards, and visualizations using tools like Python, R, SQL, or specialized simulation software to monitor production performance, output accuracy, and efficiency trends.
• Regulatory & Safety Compliance: Ensure operational workflows, ergonomics, material handling, and safety procedures adhere to OSHA, ISO standards, and industry regulatory guidelines.
• Cross-Functional Collaboration: Partner with Production Supervisors, Quality Assurance Teams, Supply Chain Managers, Operations Leads, and Maintenance Engineers to ensure seamless system performance, timely project delivery, and reliable operational outputs.

Qualifications

• Education: Bachelor’s or Master’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Research, Supply Chain Management, or a related quantitative field (Required).
• Experience: 0–5 years of experience in industrial engineering, process optimization, manufacturing analytics, supply chain operations, or industrial environments.
• Required Skills:
• Strong analytical, process mapping, and data-driven problem-solving skills.
• Proficiency in SQL, process simulation tools, and data querying/management.
• Hands-on experience with Enterprise Resource Planning (ERP) systems, Manufacturing Execution Systems (MES), and computer-aided design or layout tools (e.g., AutoCAD).
• In-depth knowledge of lean manufacturing principles, Six Sigma methodologies, ergonomics, and operational metrics.
• Excellent written and verbal communication skills for cross-functional reporting, SOP documentation, and stakeholder training.
• Preferred Skills:
• Six Sigma Green or Black Belt certification.
• Familiarity with statistical programming languages (Python, R) and data visualization tools (Tableau, Power BI).
• Knowledge of supply chain optimization, inventory control models, and automated material handling systems.
• Basic understanding of database programming or system validation logic.