Data Scientist

SUMMARY:
This is your opportunity to join a company that values innovation, data-driven decision-making, and operational efficiency. We are looking for a Data Analyst with strong expertise in distribution, inventory management, and retail data analysis to support key business functions and help improve performance across the supply chain.

POSITION INFO:
You’ll collaborate with high-performing supply chain, operations, and warehouse teams to deliver insights that reduce costs, enhance efficiency, and drive smarter decisions. If you're looking for a role where your analytical work truly moves the needle, then this is it.

This is the chance to work in a business that sees data as a strategic asset, values collaboration, and offers opportunities for career growth and development. This is your opportunity to join a company that values innovation, data-driven decision-making, and operational efficiency.

We are looking for a Data Analyst with strong expertise in distribution, inventory management, and retail data analysis, to support key business functions and help improve performance across the supply chain.

You’ll collaborate with high-performing supply chain, operations, and warehouse teams to deliver insights that reduce costs, enhance efficiency, and drive smarter decisions. If you're looking for a role where your analytical work truly moves the needle, then this is it.

What’s In It For You?:
The chance to work in a business that sees data as a strategic asset, values collaboration, and offers opportunities for career growth and development.

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.

• Education: 3-year Degree in a quantitative field (e.g., Data, Finance, Economics, Informatics, and Statistics). A Post-graduate 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.

• Analytics
• Inventory Management
• Retail Operations
• Data Science and BI
• Actuarial