Position Purpose Its main purpose is to ensure the accurracy and effectiveness of product assortment forecasts at store-sku level by leveraging big and complex data inputs and multiple factors. This role involves managing and analyzing large datasets to improve assortment decision-making effectiveness, by refining predictive models, this person drives more accurrate demand forecasting, leading to better inventory management, optimized product assortments, and increased sales efficiency. Ensuring an accurrate forecast by store-sku level is the most important part of the assortment optimization team, enabling a much transparent Merch assortment planning process and an optimal assortment strategy and space allocation for stores, hubs and mega hubs. Additionally, it´s also lead business transformation processes based on innovative proposals and management of technological solutions Primary Accountabilities + Ensure the accuracy, completeness, and consistency of input data from various sources (e.g. lookups table, VIO data, sales by channel, etc.) to support precise forecasting + Develop and refine advanced predictive models to improve the accuracy of SKU-store level forecasts, considering variables like VIO, lookups, closure rates, choice impact, complete job boost, dependencies, inventory levels, competition, price, etc. + Constantly follow up all processes and tools in the Product Optimization Area searching for improvements and innovations + Collaborate with merchandising, supply chain, Data Zone, and IT teams to align data inputs and ensure seamless integration of data-driven assortment strategies + Continuously enhance forecasting algorithms by incorporating machine learning and statistical techniques, ensuring forecasts are increasingly precise and reliable + Provide regular reports and insights on forecasting accuracy and performance, communicating findings to key stakeholders to support decision-making in each MAP review and new stores, hubs or mega hubs post-mortem results + Supervises and coaches data science analists in their responsibilities and developing their professional abilities + (Solutions Development) Lead business transformation processes based on innovative proposals and management of technological solutions. (Support) Responsible for the correct operation of the technological platform and information tools. Education & Experience Level of Formal Education: A Bachelor's degree (BA, BS) or equivalent. Area of Study: Business Administrations, Statistics, Engineering or comparable field. Years of Experience: More than seven years. Type of Experience: Data Analysis, Business Administrations, Statistics, Engineering, Programming business applications. Special Certifications or Technical Skills: Knowledge of and interest in statistical process control, business process analysis, continuous improvement, and business modeling using such techniques as linear regression, experiments, and time series forecasting. Programming skills and understanding of database structures. English required. Other/Preferred: Graduate degree/MBA preferred. SAS programming using existing databases. Excellent interpersonal skills. The ability to work with and contribute to a team.