Description: * Proficiency in cloud-based technologies and coding (e.g., SQL, Python, R). * Automation (VBA, RPA, etc.) and visualization (Power BI). * Machine learning techniques (AI, ML, for example) and tools to manage the required volume of data. * Bachelor’s degree in Computer Science, Statistics, Engineering, or related fields. * Fluency in English is mandatory. * Assertive communication, including the ability to explain complex topics in simple terms both within and outside the area. * A positive attitude toward challenges, problem-solving skills, and creativity are key traits. * Ownership mindset and leadership in customer-oriented projects. * Collaboration and teamwork capabilities. * Knowledge of Agile methodology is a plus, as is demand/stock management. * Data management and understanding (internal and external) using advanced methods and tools. * Seeking statistical models and algorithms that drive innovation and improve process performance. * Collaborating with data engineers and data architects to implement scalable solutions across South America. * Conducting advanced analyses to provide insights, identify trends, and measure performance to support accurate spare parts demand building. * Performing critical analysis of collaborative demand submitted by Volvo brand commercial areas (S\&OE / S\&OP). * Conducting advanced analyses related to inventory management, optimizing system parameters (safety stock and minimum purchase quantity). * Performing stock rebalancing analyses. * Defining stock policies together with related areas (estimating final and initial purchase batches of spare parts according to current and future demand). * Leading and participating in continuous improvement projects. * Participating in global demand and inventory planning forums and groups. 251227020249122511