Procurement Analyst – Boksburg at PG Bison

Main functions will include but is not limited to:

•  Office based position.

 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.