Minimum Requirements    

• Bachelors Degree / NQF level 7 degree in Engineering (Industrial or Process), Finance, Logistics
• 3 years of relevant experience
• Strong analytical ability
• Strong numeracy ability
• Project and pipeline management skills (applicants with relevant project management experience/qualifications will be favoured)
• A strong data analysis base
• Good teamwork, ability to work across multiple functions and teams
• Skills and relevant experience with Microsoft office packages (Excel and Word especially)
• Applicants with basic programming skills (Python, R, SQL), with a focus on programming for data science will be favoured
• Good technical report writing skills
• Costing and route modelling experience advantageous
• Analytical systems (advanced Excel, Qliksense, Power BI, PLATO)
• Independent learning. Self-starter with the ability to work alone and be responsible for identifying projects independently
• Creative thinking to find new untested solutions to complex problems
• Problem solving with the ability to think critically and find improvements for established processes
• Good teamwork, ability to work across multiple functions and teams

Duties & Responsibilities
Process Analysis and Improvement:

• Identify areas for process optimization, streamlining workflows, and reducing inefficiencies.
• Conduct root cause analysis to uncover problems and inefficiencies in business processes.
• Collaborate with cross-functional teams to implement and sustain process improvements.

Data Collection and Analysis:

• Gather and analyze data to understand performance gaps and measure the success of improvements.
• Prepare and present reports on key performance indicators (KPIs) and other metrics.
• Develop data-driven insights to inform decision-making and process redesigns.

Project Management:

• Manage improvement projects from inception to completion, ensuring timely and effective delivery.
• Coordinate with various departments to implement solutions and track progress.
• Use project management tools to monitor milestones, timelines, and resources.

Training and Support:

• Provide training to employees and teams on new processes, tools, and systems.
• Support the adoption of continuous improvement practices across the organization.
• Offer ongoing support to ensure sustainability of process changes and improvements.

Problem-Solving:

• Collaborate with stakeholders to resolve process-related issues and improve operational outcomes.
• Drive innovation through problem-solving and the introduction of new methodologies.

Reporting and Communication:

• Communicate findings, insights, and improvement initiatives to leadership and stakeholders.
• Develop presentations, dashboards, and visualizations to support data-driven decision-making.