Demand planning

Key Responsibilities:

1. Data Analysis:
   • Analyze historical sales, market trends, promotional data, and customer feedback to create accurate demand forecasts.
2. Collaboration:
   • Work with sales, marketing, and supply chain teams to gather insights and incorporate them into demand forecasts.
3. Forecast Modeling:
   • Develop and maintain statistical forecasting models using analytics tools to recognize demand patterns.
4. Trend Identification:
   • Monitor market trends and competitor activities, adjusting forecasts based on external factors.
5. Inventory Optimization:
   • Evaluate inventory levels to minimize stockouts and excess inventory through effective stock management.
6. Performance Monitoring:
   • Track forecast accuracy and KPIs to identify improvement areas and implement necessary changes.
7. Scenario Analysis:
   • Conduct scenario planning to evaluate risks and opportunities related to demand changes.
8. Process Improvement:
   • Identify and implement enhancements in demand planning processes and tools to achieve operational excellence.

Required Skills:

• Analytical Skills: Strong analytical abilities with proficiency in data analysis tools and statistical modeling are essential.
• Communication Skills: Excellent communication and collaboration skills to work effectively across departments.
• Business Acumen: Understanding of market dynamics and their effects on demand is important.
• Software Proficiency: Proficiency in forecasting software and ERP systems is necessary for effective analysis.
• Trend Identification: Ability to discern trends and patterns within complex datasets is essential for accurate forecasting.

By fulfilling these responsibilities and leveraging the required skills, a Demand Planning Analyst can significantly contribute to a company’s operational efficiency and inventory management strategy.

- Responsible for analyzing historical sales data, market trends, and customer insights to develop accurate demand forecasts, collaborating closely with sales, marketing, and supply chain teams to gather relevant information and ensure optimal inventory levels by predicting future product demand, ultimately aiming to minimize stockouts and excess inventory while maximizing operational efficiency