Job Summary
Our client is searching for a Data Analyst in 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