Job Description
Key Responsibilities:
- Develop and maintain data visualization dashboards and reporting tools to track key distribution and inventory KPIs.
- Analyze stock movement, replenishment patterns, and demand forecasts to ensure optimal inventory levels.
- Identify trends and anomalies in supply chain data to avoid stock-outs or overstocking.
- Collaborate with logistics and warehouse teams to streamline operations and improve efficiency.
- Translate complex data insights into actionable recommendations for non-technical stakeholders.
Job Experience and Skills Required:
- Education: 3-year degree in a quantitative field (e.g., Data, Finance, Economics, Informatics, Statistics). A postgraduate qualification is advantageous.
- Experience: 2–5 years in a data analytics role, with a strong focus on inventory management, distribution networks, or retail operations.
- Skills:
- Proficiency in SQL, Python, and SAS (or similar analytical tools).
- Strong mathematical and modeling skills, particularly in demand planning, stock forecasting, and warehouse optimization.
- Excellent communication skills, with the ability to present data in a clear, actionable format.
- Detail-oriented and analytical with solid problem-solving capabilities.
Non-Negotiables:
- Proven experience in distribution and inventory data analysis.
- Advanced Excel and data visualization skills.
Apply now!
For more exciting Supply Chain and Data Analytics vacancies, please visit: www.********.co.za
I also specialise in recruiting in the following:
– Analytics
– Inventory Management
– Retail Operations
– Data Science and BI
– Actuarial
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles or positions.
For more information, contact:
Louide le Roux
Recruitment Consultant – Louide le Roux
Connect with me on LinkedIn!
www.********.co.za
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