KPI's, automation, and process flow improvement. Use data to analyze and identify areas of improvement Use business unit engineering teams Evaluate and analyze data, processes, and material flow Implements initiatives communication, planning, execution & control) Data analysis and visualization to drive continuous improvement valid license Advanced MS Excel MS Visio MS Project Data Analytics Experience Power BI (Beneficial)
material mater data Assist to ensure BBBEE procurement targets are met Effectively use master data to ensure
Maintenance Capture each machine downtime on the computerised system for maintenance history data for continuous
fabricators, suppliers, site and workshop is accurately captured and aspects of schedule and trackers updated in
to clear or upgrade parts in stock and submit Capture lost sales and report on the reasons related to
Assess processes, take measurements and interpret data. 3) Design, run tests and upgrade systems and processes 10) Collect and analyze process data to identify trends and make data-driven decisions. 11) Utilize control results, and implement quality control measures. - Data-Driven Decision Making : A track record of collecting collecting and analyzing process and operational data to drive improvements Negotiable on qualifications
will ensure efficient processing of manufacturing data. Furthermore, you'll play a crucial role in providing Experience & Skills Required: Process manufacturing data and generate production ready files. Compile technical feedback to management/clients. Develop systems for data handling and configuration control. Offer component
clients and visiting project sites to gather data. Analyzing data to estimate project costs, including labor Resolving cost discrepancies through analysis and data collection. Preparing and presenting budgets, reports
Understand Supply Chain Dynamics Proficiency in Data Collection Statistical Analysis Experience in analysing
process improvements by analyzing and evaluating data and communication through SET meetings. Achieve the measuring process, the interpretation of the data/results and its interface with the overall production independently. Creating and using relevant statistical data during problem resolution process as well as series