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Demand Planner
Descriere Companie
For our client, a company that supports Romanian farmers through comprehensive agricultural services and sustainable solutions, we are recruiting a Demand Planner.
Descriere
Analyzing historical sales data, market trends, and seasonality to identify demand patterns and business insights;
Using statistical models and specialized software to accurately forecast future demand;
Collaborating closely with Sales, Marketing, Production, and Logistics teams to understand the factors influencing demand, including stock allocation and inter-warehouse movements;
Monitoring forecast accuracy and continuously improving estimation methods based on performance results;
Creating reports and key performance indicators (KPIs) related to demand, inventory, and forecast accuracy;
Responding promptly to changes in customer behavior, unexpected events, or shifts in market dynamics.
Adjusting demand and supply plans according to updated data and cross-functional feedback;
Seeking innovative solutions to enhance the supply chain through efficient planning and the development of optimized procurement models;
Leading the S&OP (Sales and Operations Planning) process, ensuring alignment between commercial and operational teams;
Ensuring an optimal balance between product availability and inventory holding costs;
Avoiding overstock and out-of-stock situations through proactive analysis and timely decision-making.
Cerințe
University degree in Economics, Statistics, Engineering, Logistics, or a related field;
At least 3 years of experience in a Logistics or Procurement department, in a similar role such as Demand Planning, Supply Chain, or Forecasting;
Being familiar with ERP and planning platforms such as SAP, Oracle, JDA, or other demand planning solutions.
Proficiency in Business Intelligence tools, such as Power BI, Tableau, or Qlik, for data visualization and reporting;
Strong analytical skills, with the ability to interpret large data sets and extract meaningful insights;
Solid understanding of statistical forecasting methods, including regression models, ARIMA, or similar approaches;
Advanced Excel proficiency, including complex formulas, pivot tables, charts, and macros;
Familiarity with S&OP (Sales & Operations Planning) processes, product life cycle management, and seasonality trends;
Knowledge of key performance indicators (KPIs) such as forecast accuracy, bias, and inventory turnover;
Advanced level of English, both written and spoken.
