Industrial Engineer - Process Analysis & Simulation

Placements24; Riverton (UT); Hybrid; USD 36.000 - 55.000; Vollzeit

Benefits dieser Stelle

Competitive salary package

Medical aid

Retirement benefits

Professional development

Hybrid work model

Access to cutting-edge software

Zusammenfassung

Placements24 is recruiting an Industrial Engineer specializing in process analysis and simulation for a hybrid role based in Upington, Northern Cape. You will model complex operations, develop discrete-event simulations, and translate results into actionable improvements to drive efficiency and cost reduction.

You will test scenarios using Arena, AnyLogic, or Simul8, validate models with real data, and collaborate with on-site and remote teams to implement recommended changes, supporting

Qualifikationen

• Bachelor's degree in Industrial Engineering or related quantitative field.
• Minimum 4 years in industrial engineering with process analysis and simulation.
• Experience with discrete-event simulation software (Arena/AnyLogic).
• Strong data analysis and performance metric development.
• Excellent communication and teamwork in hybrid environments.

Aufgaben

• Analyze existing processes to identify optimization opportunities.
• Develop and validate discrete-event simulation models.
• Run 'what-if' scenarios using simulation tools to test changes.
• Collaborate with operations to collect data and interpret results.
• Prepare reports and presentations with actionable recommendations.
• Support implementation of approved process improvements.

Kenntnisse

Process analysis

Simulation

Data analysis

Python/Java

Communication

Ausbildung

Bachelor's degree in Industrial Engineering

Operations Research

Tools

Arena

AnyLogic

Simul8

Jobbeschreibung

About the Role

Our client, a leader in their industry based in Upington, Northern Cape , is seeking a skilled Industrial Engineer with expertise in process analysis and simulation. This role is central to understanding, modeling, and optimizing complex operational processes to enhance efficiency, reduce costs, and improve output. The ideal candidate will have a strong quantitative background, extensive experience with simulation software, and a proven ability to translate analytical findings into practical, actionable recommendations. You will play a key role in driving informed decision-making through rigorous process evaluation. This position offers an exciting opportunity to contribute to operational excellence in a significant regional hub. The hybrid work model allows for both collaborative on-site work and focused analytical time, benefiting our client's operations in Upington, Northern Cape .

Key Responsibilities

• Analyze existing industrial and business processes to identify areas for improvement and optimization.
• Develop discrete-event simulation models to represent and analyze complex systems.
• Utilise simulation software (e.g., Arena, AnyLogic, Simul8) to test 'what-if' scenarios and evaluate potential changes.
• Validate simulation models against real-world operational data.
• Analyze simulation results to provide insights on system performance, throughput, and resource utilization.
• Recommend process improvements based on simulation outcomes and data analysis.
• Collaborate with operational teams to gather data and understand process dynamics.
• Develop reports and presentations summarizing analysis findings and recommendations.
• Stay current with advancements in simulation technology and industrial engineering techniques.
• Support the implementation of recommended process changes.

Requirements

• Bachelor's degree in Industrial Engineering or a related quantitative field (e.g., Operations Research, Computer Science).
• Minimum of 4 years of experience in industrial engineering, with a strong focus on process analysis and simulation.
• Demonstrated expertise in using discrete-event simulation software (e.g., Arena, AnyLogic).
• Proficiency in data analysis, statistical modeling, and performance metric development.
• Strong understanding of industrial processes and operational workflows.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication skills, with the ability to explain complex technical concepts clearly.
• Ability to work effectively in a hybrid environment, balancing site visits with remote analytical work.
• Experience with programming languages (e.g., Python, Java) for data manipulation is a plus.
• A keen eye for detail and accuracy in modeling and analysis.

Benefits

• Competitive salary package based on experience.
• Comprehensive medical aid and retirement fund benefits.
• Paid annual leave and other statutory benefits.
• Opportunities for professional development in simulation and advanced analytics.
• A challenging role contributing to strategic operational decisions in Upington, Northern Cape .
• Hybrid work model offering flexibility.
• Supportive team environment focused on data-driven improvement.
• Access to cutting-edge simulation software and tools.