Responsibilities

• Develop and maintain high-quality demand forecasts at multiple levels of aggregation for multiple horizons (short, medium, and long-term).
• Utilize statistical forecasting tools and software to analyze historical sales trends, seasonality, and market shifts.
• Clean and validate historical data to account for outliers, such as promotions or supply disruptions.
• Monitor and report on forecast accuracy, forecast bias and lead root-cause analysis to drive continuous improvement.
• Facilitate monthly consensus meetings with Sales and Category Management to incorporate market intelligence (promotions, new product launches, competitor activity) into the forecast.
• Collaborate with Finance to ensure the demand plan aligns with budgetary expectations and revenue targets.
• Work closely with the Supply Planning team to communicate changes in demand that may impact production or procurement schedules.
• Manage the demand planning phase of New Product Introductions (NPI) by analyzing similar product launches and market potential in conjunction with business partners.
• Monitor "End of Life" forecast to minimize excess and obsolete inventory.
• Create and maintain dashboards that visualize key performance indicators (KPIs) for senior leadership.
• Identify opportunities to automate manual data processes and improve the efficiency of the planning cycle.
• Participate in global or regional supply chain projects aimed at digital transformation and tool implementation.

Requirements

• Education: Bachelor’s degree in Supply Chain Management, Business Analytics, Mathematics, Engineering, or a related field.
• Experience: 1-2 years of experience in demand planning, supply chain, or data analytics (preferably in FMCG, Beauty, or Retail).
• Technical Proficiency: Advanced Excel skills (Pivot Tables, VLOOKUPs, Power Query).
• Experience with ERP systems (SAP, Oracle) and Demand Planning software (Anaplan a plus) is a plus.
• Familiarity with data visualization tools (Power BI, Tableau) is a strong plus.
• Analytical Mindset: Strong ability to interpret complex data and translate it into a narrative for non-analytical stakeholders.
• Communication: Excellent interpersonal skills with the ability to influence and build consensus across different departments.