into impact as a Supply Chain Data Analyst Join the team as a Supply Chain Data Analyst in Johannesburg Johannesburg, where you'll turn complex data into actionable insights that drive key business decisions. Utilize expertise and industry knowledge to enhance supply chain operations and contribute to the team's success Responsibilities: Convert raw data into valuable insights through effective data visualization and reporting bachelor's degree in Statistics, Data Science, Computer Science, Supply Chain Management or related. 5 years
into impact as a Supply Chain Data Analyst Join the team as a Supply Chain Data Analyst in Johannesburg Johannesburg, where you'll turn complex data into actionable insights that drive key business decisions. Utilize expertise and industry knowledge to enhance supply chain operations and contribute to the team's success Responsibilities: Convert raw data into valuable insights through effective data visualization and reporting bachelor's degree in Statistics, Data Science, Computer Science, Supply Chain Management or related. 5 years
Africa What you'll do: As the Head of Finance - Supply Chain, you will play a pivotal role in shaping the Head of Finance - Supply Chain role brings a wealth of experience from a supply chain environment within Head of Business Control/Finance, with strong supply chain finance experience Experience in managing a
from compliant suppliers ensuring uninterrupted supply of products at optimum prices in accordance with Generate RFPs, RFQs and negotiating of pricing and supply terms with suppliers. Ordering of requirements team on a weekly basis. KNOWLEDGE REQUIRED • Supply Chain degree is essential. • Post Graduate qualification
COMPETENCIES - Matric/Grade 12 certificate - A Supply Chain Management/Logistics/Procurement/Accounting/Law/ OTHER REQUIREMENTS - 5-8 years of experience in Supply chain Management – Operational - 3 years of experience knowledge of Public Sector legislation governing supply chain.
advocating that IT complements business. Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to to the data modelling principles and standards Apply the approved tooling to create the data modelling Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
highly motivated and detail-oriented Financial Data Analyst to join our clients' team. In this role, you you will be responsible for analyzing financial data, generating insights, and providing actionable recommendations experience as a Financial Data Analyst or in a similar role Proficiency in financial modeling and forecasting Excellent skills Strong knowledge of statistical analysis and data visualization tools (e.g., Excel, Tableau, Power interpret financial data to support business decision-making Develop financial models and forecasts to project
COMPETENCIES - Matric/Grade 12 certificate - A Supply Chain Management/Logistics/Procurement/Accounting/Law/ OTHER REQUIREMENTS - 5-8 years of experience in Supply chain Management – Operational - 3 years of experience knowledge of Public Sector legislation governing supply chain.
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- Matric/Grade 12 certificate
- A Supply Chain Management/Logistics/Procurement/Accounting/Law/
REQUIREMENTS
- 5-8 years of experience in Supply chain Management Operational
- 3 years of experience
knowledge of Public Sector legislation governing supply chain.
Experienced Senior Data Analyst We are seeking a highly skilled and experienced Senior Data Analyst to join our background in data analysis, particularly with SAS, and the ability to translate complex data into actionable drive data-driven decision-making. Duties and Responsibilities: Analyze and interpret complex data sets and insights Develop and maintain data models, reporting systems, data automation systems, dashboards, for data analysis and reporting Collaborate with cross-functional teams to understand their data needs