Industrial Process Analyst

Placements24; Benoni; On-site; ZAR 420,000 - 600,000; Full time

Benefits offered by this job

Medical aid

Professional development

Collaborative environment

Exposure to varied processes

Performance bonus

Job summary

Placements24 in Benoni seeks an Industrial Process Analyst to scrutinize production workflows, identify inefficiencies, and propose data-driven improvements. The role focuses on reducing waste, boosting productivity, and applying industrial engineering principles to guide operational enhancements.

You will work with supervisors and line staff to map processes, conduct time studies, and measure impact of changes. This position requires strong analytical skills and collaboration across teams.

Qualifications

• Bachelor's degree in Industrial Engineering, Operations Research, or a related quantitative field.
• Minimum of 3 years of experience in process analysis or industrial engineering.
• Proficiency in Excel, SQL, and basic statistical software.
• Familiarity with Lean Manufacturing and process mapping.
• Strong analytical and communication skills.

Responsibilities

• Analyze operational data to identify trends, inefficiencies, and areas for process improvement.
• Develop detailed process maps and flowcharts to document current workflows and proposed changes.
• Conduct time studies, workload analysis, and other data collection activities.
• Evaluate the effectiveness of implemented process changes and recommend adjustments.
• Prepare comprehensive reports and presentations summarizing findings for management.
• Collaborate with production supervisors and line workers to gather information and implement improvements.

Skills

Analytical thinking

Data interpretation

Communication

Team collaboration

Education

Bachelor's degree in Industrial Engineering / OR / related field

Tools

Excel

SQL

Statistical software

Job description

About the Role

Our client is seeking a detail-oriented Industrial Process Analyst to join their operations team in Benoni . This role is vital for meticulously examining current production workflows, identifying inefficiencies, and providing data-driven recommendations for enhancement. You will play a key role in optimizing operational performance, reducing waste, and improving overall productivity through systematic analysis and the application of industrial engineering principles. The successful candidate will possess strong analytical capabilities, a thorough understanding of process improvement techniques, and the ability to translate complex data into actionable insights for operational enhancement.

Key Responsibilities

• Analyze operational data to identify trends, inefficiencies, and areas for process improvement.
• Develop detailed process maps and flowcharts to document current workflows and proposed changes.
• Conduct time studies, workload analysis, and other relevant data collection activities.
• Evaluate the effectiveness of implemented process changes and recommend adjustments as needed.
• Prepare comprehensive reports and presentations summarizing findings and proposing solutions to management.
• Collaborate with production supervisors and line workers to gather information and implement improvements.

Requirements

• Bachelor's degree in Industrial Engineering, Operations Research, or a related quantitative field.
• Minimum of 3 years of experience in process analysis, industrial engineering, or a similar role.
• Proficiency in data analysis tools such as Excel, SQL, and basic statistical software.
• Familiarity with Lean Manufacturing principles and process mapping techniques.
• Strong analytical and critical thinking skills with a keen eye for detail.
• Good communication and interpersonal skills to effectively interact with operational staff.

Benefits

• Competitive salary and benefits package, including medical aid contributions.
• Opportunities for professional development in industrial engineering and process analysis.
• A collaborative work environment focused on improving operational efficiency.
• Exposure to various industrial processes and problem-solving scenarios.
• Potential for project-based bonuses upon successful implementation of improvements.