Job Summary:  

The Operational Business Analysis Supervisor will focus on enhancing operational efficiency, optimizing cost structures, and driving improvements in processes such as production, technical machinery, supply chain planning, material management, and quality control. This role is integral to reducing the Cost of Goods Sold (COGS) while maintaining high product quality and ensuring market satisfaction.

Key Responsibilities:  

1. Operational Process Management:  

   - Analyze and enhance production workflows, supply chain logistics, and material management strategies.  

   - Identify bottlenecks, inefficiencies, and risks in operational processes.  

2. Cost Optimization:  

   - Develop strategies to reduce COGS through process improvements and waste reduction while maintaining quality.  

   - Conduct financial analysis to track and report cost-saving initiatives.  

3. Problem Identification & Resolution:  

   - Use tools like Root Cause Analysis, Fishbone Diagrams, Pareto Charts, and the 5 Whys Model to identify and resolve operational issues.  

   - Prioritize and plan solutions based on impact and feasibility.  

4. Performance Improvement:  

   - Implement and monitor key performance indicators (KPIs) for operational efficiency and cost control.  

   - Collaborate with cross-functional teams to drive improvements.  

5. Leadership & Team Collaboration:  

   - Act as a team leader or member in project-based environments.  

   - Provide training and guidance to operational teams on cost-saving measures.  

 

Required Skills and Qualifications:  

- Bachelor’s degree in Industrial Engineering, Business Administration, Engineering, or a related field.  

- Expertise in operational processes, including production, supply chain planning, and quality control.  

- Strong knowledge of BABOK and PMI Business Analysis techniques.  

- Proficiency in problem-solving tools and critical thinking.  

- Strong communication, leadership, and collaboration abilities.

 

Preferred Skills:  

- Experience in cost optimization and financial modeling.  

- Familiarity with ERP systems and data analytics tools.