Industrial Engineer (Junior) at Human Accent

Key Performance Areas (Core, essential responsibilities –outputs of the position)

Project Management

• Manage projects across the business
• Implementing agile and waterfall project methodologies
• Conduct project impact meetings with scorecards
• Diagnose and solve bottlenecks in the projects

Business Process Improvement (KAIZEN)

• Implement kaizen principles timprove business processes
• Act as an internal consultant/process expert for the various departments
• Identify business issues and conduct workshops around problem definition
• Investigate and measure the extent of the problem in each of the departments
• Solve the problem using the most efficient method
• Maintain and control the systems, where solutions have been implemented
• Redesigning business processes twork as optimal as possible tsave time and resources

Data Analytics

• Building and maintaining the company scorecards that track company and departmental goals with Power BI
• Conduct analysis, scenariplanning and simulation through mathematical/management accounting models
• Promote a culture of data-driven decision making

Innovation/research

• Facilitating the workshop tprovide the platform for engineers and data analysts tinnovate and share ideas
• Automating business processes through RPA (Power Automate, Power Bi, Smartsheet Automation,chatbots)
• Data science through ML and AI
• Researching what ideas related ttechnology and 4IR an be brought intthe business

Minimum Requirements
EDUCATION

• Degree (Bachelors)
• BEng Industrial Engineer/Business Process Engineer Education
• Competencies(Advantageous)
• Management Accounting Certification (high-level financial understanding)
• Project Management
• Lean Six Sigma
• 0 – 2 Years experience

EXPERIENCE & SKILLS/PHYSICAL COMPETENCIES

• Data analysis systems (Power Bi)
• Project management tools (Smartsheet)

BEHAVIOURAL QUALITIES

• Analytical thinker
• Intuition
• The ability tdecide when tpay attention tdetail or have a sense of urgency
• Affinity tlearn