Associate Manager - Demand Forecasting

About The Role

We are looking for a data-driven Demand Forecasting professional who can own demand forecasting and help improve inventory availability, planning accuracy, and business performance across our ecommerce and retail channels.

Key Responsibilities

• Develop and maintain demand forecasts across products, categories, and channels.
• Analyse historical sales data, seasonality, trends, promotions, and business inputs to create accurate forecasts.
• Work closely with Sales, Category, Supply Chain, Marketing, and Finance teams to incorporate business insights into forecasts.
• Monitor forecast accuracy and identify key deviations, risks, and opportunities.
• Conduct forecast vs. actual analysis and identify root causes of variances.
• Support inventory planning by identifying potential overstock and stock-out risks.
• Incorporate promotional activities, new product launches, seasonality, and market trends into forecasting models.
• Build and maintain forecasting reports/dashboards using Excel and relevant analytical tools.
• Continuously improve forecasting methodologies and processes based on business requirements.
  
  

What We're Looking For

• 2+ years of experience in Demand Forecasting / Demand Planning.
• Strong understanding of different forecasting methodologies and techniques.
• Experience working with ecommerce, retail, FMCG, beauty, or consumer businesses is preferred.
• Strong analytical and problem-solving skills.
• Advanced Excel skills; experience with SQL, Power BI, Python, or planning tools is an advantage.
• Ability to independently analyse large datasets and translate insights into actionable business recommendations.
• Strong communication and stakeholder-management skills.
  
  

Important: This role requires someone who has hands-on experience in forecasting. Candidates whose experience begins only after the forecast is provided (pure planning/replenishment roles) may not be the right fit.

Skills: forecasting,historical data,create forecast,predict future