Technical Data Analyst (Contract)

To provide accurate bills of materials (BOMs) for series and pre-series parts to internal and external supply chain partners for the production of vehicles and/or components destined for in-house, local, and export customers. To manage the successful introduction of engineering changes in series and pre-series production. To identify, analyse, and report / communicate out of line bill of material situations and ensure commitment to corrective actions. To advance the management of part number variance in the plant to ensure optimal products to satisfy internal and external customers. Possible Tasks within this Role Evaluating the impact of engineering changes on the BOMs and providing accurate input into the change management system. Converting the Engineering Bill of Material (E/BOM) into a Production Bill of Material (P/BOM) Determining timing for the introduction of engineering changes by considering the lead plant timing, related changes, supplier (local and foreign) lead times, inventory levels, vehicle definitions and customer requirements Securing continued supply of imported material for production of vehicles and components by coordinating the New Components request process. Intervening in the P/BOM to prevent line stoppages through the implementation of temporary changes (deviations) to correct errors in usage, PR number, colour, and trim combinations as well as effective period. Ensure correct documentation is put in place for the permanent correction of temporary intervention. Providing accurate BOMs to JIT-, JIS and kit suppliers on a continuous basis (as the vehicle passes through the production process) for the production of sub-assemblies. Investigating ad-hoc data queries related to the P/BOM to ensure the accuracy of the BOM so that parts are delivered timeously to the relevant Production areas. Qualification requirements ND/Degree in Mechanical/ Industrial /Electrical Engineering or Production Management/ Supply Chain Management /Logistics/ Information Technology/ Data Science Experience needed At least 3 years' experience gained within the automotive industry in a Logistics environment. Essentials Knowledge of the PEP process Understanding of RPA (Robotic Process Automation) Project Management Experience Computer literate, Microsoft Office Package (Word; Excel & PowerPoint) SAP Ability to communicate at all levels (Good written and verbal communication skills.) Be analytical skills with an innovate approach to problem – solving.