Job opportunity

Main tasks & key accountabilities

• You will use data from a range of sources (CRM systems, ERP data, marketing campaign results, market research, seasonal trends) to prepare relevant historical sales data, market trends,and customer behavior data
• You will generate reports and create dashboards to present forecasts to sales managers in a clear and actionable format
• You will improve forecast accuracy by breaking down data by product, region, customer segment, sales channel, etc., to identify patterns and differences in performance across segments
• You will use appropriate forecasting models (e.g., time series, regression, machine learning), and use input from key departments to refine & adjust forecasts with real-world insights, and produce sales estimates for specific time periods (weekly, monthly, quarterly),
• You will run multiple scenarios (best case, worst case, expected); and compare forecasts with actuals to assess accuracy, identify variances, and adjust forecasts or strategies, using accuracy

Your ideal profile

• You hold a degree in Engineering, Business Economics, or Data Science
• You have up to 5 years of experience in Sales Demand Forecasting in large and complex corporations
• You are fluent in English, both written and spoken
• You have strong mathematics skills; good understanding and management of statistical models; and a strong focus on process improvement
• You are familiar with the use of digital planning tools (eg. Kinaxis, SAP, o9, Blueyonder), digital business analytics tools such as PowerBI; and AI platforms to drive forecasting and planning practices
• You have the communication and managerial skills to deploy new processes across the organization; the ability to work as part of a team; and resilience against frustration