Supply Chain Analyst

Placements24; Vereeniging; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary and incentives

Professional development opportunities

Medical and retirement benefits

Job summary

Placements24 in Vereeniging is seeking a highly analytical Supply Chain Analyst to join the team in a hybrid capacity. You will analyze data, build dashboards, and support forecasting, procurement, and logistics improvements to drive efficiency and cost savings.

The role requires collaboration with cross-functional teams, strong Excel/SQL skills, and experience with Tableau or Power BI to visualize key metrics for stakeholders in the Gauteng region.

Qualifications

• Bachelor’s degree in relevant field.
• Experience in supply chain analysis or similar.
• Advanced Excel skills with data modeling.
• Experience with data visualization and SQL desirable.
• Strong analytical and problem-solving skills.

Responsibilities

• Collect, analyze, and interpret supply chain data, including inventory levels, transportation costs, lead times, and supplier performance.
• Develop reports and dashboards to visualize key supply chain metrics and communicate findings to stakeholders.
• Identify bottlenecks, inefficiencies, and areas for cost reduction within the supply chain network.
• Model the impact of proposed supply chain changes and provide recommendations for optimization.
• Support the implementation of new supply chain strategies, processes, and technologies.
• Collaborate with cross-functional teams to ensure alignment and drive improvements in forecasting, procurement, and logistics operations in Vereeniging.

Skills

Advanced Excel

Pivot tables

Data modeling

SQL

Tableau/Power BI

Analytical thinking

Cross-functional collaboration

Education

Bachelor's degree in Supply Chain Management, Industrial Engineering, Business Analytics, or related field

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Supply Chain Analyst to join their team, working in a hybrid capacity with their Vereeniging operations. This role is pivotal in analyzing supply chain data, identifying opportunities for improvement, and supporting strategic decision-making to enhance efficiency and reduce costs. You will work closely with various departments to understand current processes, model potential changes, and implement data-driven solutions. This is an exciting opportunity to make a significant impact on the company's supply chain performance within the dynamic Gauteng region.

Key Responsibilities

• Collect, analyze, and interpret supply chain data, including inventory levels, transportation costs, lead times, and supplier performance.
• Develop reports and dashboards to visualize key supply chain metrics and communicate findings to stakeholders.
• Identify bottlenecks, inefficiencies, and areas for cost reduction within the supply chain network.
• Model the impact of proposed supply chain changes and provide recommendations for optimization.
• Support the implementation of new supply chain strategies, processes, and technologies.
• Collaborate with cross-functional teams to ensure alignment and drive improvements in forecasting, procurement, and logistics operations in Vereeniging .

Requirements

• Bachelor's degree in Supply Chain Management, Industrial Engineering, Business Analytics, or a related field.
• Proven experience in supply chain analysis, operations research, or a similar analytical role.
• Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and data modeling.
• Experience with data visualization tools (e.g., Tableau, Power BI) and SQL is highly desirable.
• Strong analytical, problem-solving, and critical thinking skills.

Benefits

• Competitive annual salary and performance-based incentives.
• Comprehensive medical and retirement benefits package.
• Hybrid work model offering flexibility between office and remote work.
• Opportunities for professional development and certifications in supply chain analytics.
• A collaborative and data-driven work environment in Vereeniging .