Duties & Responsibilities
Responsible for the Maintenacne stores on a day to day operations basis.
Monitor stock against agreed inventory levels and re-order as required to ensure availability of spares.
Develop a relationship with the Suppliers to ensure th
experienced Parts Manager to manage, drive and motivate the parts team.
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Africa, has an opportunity for a Parts Deman Planner for the Parts Distribution Centre (PDC) in Germiston relevant experience. SUMMARY DESCRIPTION OF ROLE: Parts inventory stock planning and Supplier inventory orders accordingly. Monitors and checks data integrity of SAP data vs Excel Maintains the master schedule lead times to meet parts requirements for defined categories of stock. Stays updated on where parts are process. Monitors the integrity of stock data. Reports on stock data – obsolete items, problems with inefficient
CAW005807-KdW-1 Parts Manager - JHB South Our client is looking for an experienced Parts Manager to manage manage, drive and motivate the parts team. A minimum of 5 years Parts Management experience within a Franchised Responsibilities: Ability to run Parts Department and manage all Parts Management duties Manage inventory Customer service Overseeing orders for replacement parts Meeting set targets Debtors control Work closely 3 years' management and sales experience in the Parts Department of a dealership Courses/ qualifications
Graduate parts administrator (Isando).
(fixed term contract for 12 months). EE post.
We required
administration.
Duties:
holders to ensure maximum output is achieved in parts supply.
experience
passionate about using data to solve problems? We want you: We are looking for Data Engineering Professionals Professionals to join our dynamic and diverse team of Data Specialists. If you meet some or all the below requirements unstructured environment. The ability to work as part of a team, with vastly differing skill sets and extraneous data and extracting the core requirements. RESPONSIBILITIES: (As the field of data engineering the consumption of data, data pipelines, highly distributed, high availability data processing pipelines
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