the correct data capturing of items to procure, etc. Must be willing to put in extra time and effort when
a vital role in managing procurement, production data, and boiler house efficiencies across our various
including Design, Research and Development, Data Capturing, Testing etc. Collaboration with all relevant implementation. Compile manufacturing drawings, BOMs and parts list as required by projects. Record and document organizational skills and attention to detail. Excellent time management skills with a proven ability to meet
according to established reorder levels Upkeep of data input into maintenance cost ledger Placing orders Housekeeping of spares store Capturing data from daily production down time reports Making sure maintenance
fold as you will be supporting the team with data capturing, trending and analysis and supporting MECP
technical specialist that supports the establishment of data processing operations.
manufacturer recommendations, and historical performance data. Generate Works Orders based on SAP schedules Incorporating maintenance plans based on feedback, performance data, and changing operational conditions. Implementing spare parts inventory and strategy (what is to be held). Ensure that the source of spare parts is defined defined and clear (who and lead times) EDUCATION & EXPERIENCE: Degree or Diploma in Mechanical Engineering requirements. Data Analysis: Proficiency in analysing maintenance data, interpreting trends, and using data-driven
developer must have experience with distributed data-intensive processing and algorithm development, deliverables. As part of the Operations team, they are expected to provide a senior level of Data Processing technical specialist that supports the establishment of data processing operations. Participate in project management algorithms development Experience with distributed data-intensive processing and algorithm development, Experience with physical data modelling, both for efficient in-memory & network data exchange as well as
manufacturer recommendations, and historical performance data. o Generate Works Orders based on SAP schedules maintenance plans based on feedback, performance data, and changing operational conditions. o Implementing into plan improvements. • Spare parts inventory: o Maintain a spare parts inventory and strategy (what is Ensure that the source of spare parts is defined and clear (who and lead times) • Training and Awareness: equipment lifespan. o Create estimations for labour and parts as required • Statutory requirements: o Maintain
requirements Data Analysis - Proficiency in analysing maintenance data, interpreting trends, and using data-driven manufacturer recommendations, and historical performance data Generate Works Orders based on SAP schedules Predictive maintenance plans based on feedback, performance data, and changing operational conditions Implementing insights into plan improvements Spare parts inventory: Maintain a spare parts inventory and strategy (what is Ensure that the source of spare parts is defined and clear (who and lead times) Training and Awareness: Providing