Description: * Bachelor's degree in Engineering, Statistics, Mathematics, Administration, Economics, or related fields. Technical Knowledge and Skills: * Proven experience in data analysis and applied statistics to industrial processes. * Proficiency in Minitab and/or R (mandatory). * Intermediate knowledge of Python (desirable). * Familiarity with Lean Six Sigma concepts and tools (minimum Green Belt, desirable). * Experience with PCP indicators, production planning, and process control will be considered a plus. * Ability to interpret data, visualize, and communicate results effectively across different organizational levels. Behavioral Competencies: * Analytical profile with a results-oriented mindset. * Logical reasoning and attention to detail. * Strong communication skills and ability to influence cross-functional teams. * Proactive attitude, sense of urgency, and focus on continuous improvement. * Conduct statistical process analyses using Minitab, R, or equivalent tools. * Support Lean Six Sigma projects from problem definition through result validation (DMAIC phases). * Develop and maintain dashboards and analytical reports to support improvement decisions. * Identify optimization opportunities in production, logistics, and administrative processes based on data. * Collaborate with PCP (Production Planning and Control), Quality, and Process Engineering teams to monitor performance indicators. * Assist in the standardization and documentation of processes, ensuring dissemination of best operational practices. * Participate in the development of predictive models and advanced analytics to support decision-making. 2510290202531836321