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Industrial Engineer - Pharma Industry

OttoBauthentic

Johannesburg

On-site

ZAR 300 000 - 400 000

Full time

Today
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Job summary

A dynamic engineering firm in Johannesburg seeks an Industrial Engineer to develop into a Business Process Engineer. This role centers on project management, data analytics, and continuous improvement, offering hands-on experience in operational excellence. Candidates must have a BSc/BEng in Industrial Engineering and exposure to relevant tools like Excel and Power BI. The position is for a 6-month contract with the potential for permanency.

Qualifications

  • Mandatory: BSc/BEng in Industrial Engineering Degree.
  • Preferred: Certifications or exposure to Lean Six Sigma, Project Management, or Data Analytics.
  • Exposure to data analysis tools is an advantage.

Responsibilities

  • Assist in planning, coordinating, and executing projects across departments.
  • Participate in Kaizen workshops to identify inefficiencies and propose solutions.
  • Collect, clean, and analyze business and operational data to generate insights.
  • Explore and test innovative approaches to enhance efficiency and effectiveness.

Skills

Analytical skills
Problem-solving skills
Process-mapping skills
Project management understanding
Knowledge of Lean/Kaizen principles

Education

BSc/BEng in Industrial Engineering
Certifications in Lean Six Sigma
Certifications in Project Management
Exposure to Data Analytics

Tools

Excel
Power BI
SQL
Python
Job description
Job Summary
  • The Industrial Engineer will be developed into a Business Process Engineer, working closely with cross-functional teams to drive efficiency, continuous improvement, and innovation.
  • The role focuses on four core pillars: Project Management, Kaizen (continuous improvement), Data Analytics, and Innovation.
  • The position is designed to provide hands‑on experience and exposure to business‑critical processes, enabling the graduate to build a strong foundation in operational excellence and process engineering.
Key Responsibilities
  • Project Management
    o Assist in planning, coordinating, and executing projects across departments.
    o Track project milestones, risks, and deliverables to ensure timely and successful completion.
    o Support documentation and reporting of project outcomes and lessons learned.
  • Kaizen & Continuous Improvement
    o Participate in Kaizen workshops and initiatives to identify inefficiencies and propose solutions.
    o Map processes, identify bottlenecks, and recommend improvements that reduce waste and increase value.
    o Assist in monitoring the impact of improvement initiatives and tracking compliance.
  • Data Analytics
    o Collect, clean, and analyze business and operational data to generate insights.
    o Support the development of dashboards, reports, and performance metrics to guide decision‑making.
    o Collaborate with BI and data teams to leverage analytics in process optimization.
  • Innovation & Business Process Engineering
    o Explore and test innovative approaches, tools, and technologies to enhance efficiency and effectiveness.
    o Support pilots and proof‑of‑concept projects for new process solutions.
    o Contribute creative ideas to support digital transformation, automation, and future business growth
Required Skills and Qualifications
  • Education
    Mandatory: BSc/BEng in Industrial Engineering Degree
    Preferred: Certifications, or exposure to Lean Six Sigma, Project Management, or Data Analytics.
  • Experience
    Exposure to data analysis tools (Excel, Power BI, SQL, Python, or similar) is an advantage.
    Participation in projects or process improvement initiatives during studies will be beneficial.
  • Technical & Professional Competencies
    Strong analytical, problem‑solving, and process‑mapping skills.
    Knowledge of Lean/Kaizen and continuous improvement principles.
    Basic understanding of project management methodologies.
    Proficiency in MS Office; exposure to BI tools preferred

6 Month Contract position that might turn to a permanent position.

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