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Data Analyst: Procurement - Ermelo

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Description Our client is searching for a Data Analyst: Procurement to join their team in Boksburg KEY RESULT AREAS Accountable for procurement spend data analysis across the group. Making recommendations on group spend sourcing of commodity groupings. Prepare RFQ/RFP submissions. Regular verification of the correctness of contract purchase pricing. Tracking and reporting of global commodity and freight price indices. Benchmarking of relevant commodity and freight prices. Accountable for contract and purchase price management Update of purchase price data. Contract adherence. Accountable for data interfacing with ancillary data systems o Netstock o Pragma o Supplier EDI’s o Qliksense o Pay to Procure (P2P) Accountable for procurement process and system optimization. Developing procurement dashboards, KPI and visualization tools. Process optimization Accountable for engineering and consumable Item Master Data Management Analysing master data and ensuring correct item grouping Regular review of supply lead times and ensuring updates in the Netstock system. Item group rationalization. Accountable for Supplier Master Data on the ERP system. Accountable for Supplier Risk Profiles and Bank Account Verification with verification agencies. Review and inactivation of dormant suppliers on the ERP system. Perform supplier master data Audit report. Accountable for coordinating Credit Application reviews between requesting sites, suppliers, and legal review. Accountable for Maintaining and administering supplier data in the B-BBEE database. Maintaining and administering Socio-Economic (SED) data in the B-BBEE database. Maintaining and administering Preferential Procurement (PP) data in the B-BBEE database. Maintaining and administering Supplier- and Enterprise Development data in the B-BBEE database. Coordinating relevant B-BBEE data during the verification process. Office-based position. REQUIRED MINIMUM QUALIFICATIONS BSC Degree in Data Analytics or Industrial Engineering or equivalent. REQUIRED MINIMUM EXPERIENCE More than 5 years of experience in data analytics or industrial engineering function RECOMMENDED SKILLS, KNOWLEDGE & QUALITIES Computer Literate and high level of Microsoft Excel proficiency. Highly practical Microsoft Excel skills to apply within your context to analyse, interpret, and present data. High level of understanding of how data is captured, stored, and accessed, with a theoretical introduction to databases and SQL. Interpretation of Outcomes Ability to apply data analysis to business needs, including procurement, finance, sales, and operations. Well-spoken and an excellent communicator with a high level of English communication proficiency. Data Presentation and Visualisation. Analytical, and numerically astute with strong proven problem identification and solution abilities. Dynamic individual with the ability to work in a highly pressurised. environment. Analytical thinker. Attention to detail. Ability to prioritize. Ability to work with highly confidential content Apply Now
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