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We’re a proudly South African company, offering a comprehensive range of wood-panel based products for every application, from counterto...
Main functions will include but is not limited to:
Accountable for procurement spend data analysis across the group:
- Making recommendations on group spend sourcing of commodity groupings.
- Preparing RFQ/RFP submissions.
- Regular verification of 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:
- Updating of purchase price data.
- Contract adherence.
Accountable for data interfacing with ancillary data systems:
- Netstock
- Pragma
- Supplier EDI’s
- Qliksense
- Pay t Procure (P2P)
Accountable for procurement process and system optimization:
- Developing procurement dashboard, KPI’s 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 Netstock system.
- Item group rationalization.
Accountable for Supplier Master Data on ERP system:
- Supplier risk profiles and bank account Verification with verification agencies.
- Reviewing and inactivation of dormant suppliers on ERP system.
- Performing supplier master data Audit report.
- Coordinating credit application reviews between requesting sites, suppliers and legal review.
Accountable for maintaining and administering supplier data in B-BBEE database:
- Socio-Economic (SED) data.
- Preferential Procurement (PP) data.
- Supplier and Enterprise Development (ED) data.
- Coordinating relevant B-BBEE data during verification process.
Minimum qualifications and experience:
- BSC Degree in Data Analytics or Industrial Engineering or equivalent.
- More than 5 years’ experience in a data analytics or industrial engineering function.
Recommended skills, knowledge and qualities:
- Computer literate and high level of Microsoft Excel proficiency.
- Highly practical Microsoft Excel skills t apply within your own context t analyse, interpret and present data.
- High level of understanding of how data is captured, stored, and accessed, with a theoretical introduction t databases and SQL.
- Interpretation of outcomes.
- Ability t apply data analysis t 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, numerically astute with strong proven problem identification and solution abilities.
- Dynamic individual with an ability t work in a highly pressurised environment.
- Analytical thinker.
- Attention t detail.
- Ability t prioritize.
- Ability t work with highly confidential content.
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