




Job Summary: Professional to work on customer retention, pricing, and commercial strategy, focused on optimizing the customer journey and driving results. Key Highlights: 1. Experience in customer retention, pricing, and commercial strategy. 2. Proficiency in offer modeling and pricing policies. 3. Focus on data analysis and optimization of retention processes. Description: * Bachelor's degree in Business Administration, Economics, Engineering, Marketing, or related fields. * Prior experience in customer retention, pricing, commercial strategy, or market intelligence. * Advanced Excel proficiency. * Knowledge of offer modeling, pricing policies, and retention processes. * Ability to develop strategic presentations (PowerPoint, Think Cell, etc.). * Results-oriented profile with strategic vision and focus on customer experience. Differentiators: * Experience in telecommunications, digital services, fintechs, or companies with recurring customer bases. * Strong analytical capability, with expertise in data analysis tools (SQL, Power BI, or similar). * Knowledge of machine learning or predictive churn/propensity models. * Intermediate/advanced English proficiency. * Analyze behavioral, churn, and lifetime value data to identify retention opportunities. * Develop and test various offer models, bundles, and service/product packages. * Define competitive and profitable pricing policies for customers at risk of cancellation. * Create intelligent segmentation for personalized retention offers. * Monitor and analyze retention operations performance, ensuring efficiency and continuous improvement. * Map, design, and implement new processes to optimize the retention journey. * Monitor strategy performance by tracking KPIs such as churn rate, retention rate, recurring revenue, and ROI. * Collaborate with Commercial, Product, and Operations teams to ensure alignment of initiatives. * Conduct market analysis and benchmarking to identify best practices. * Support the development of business cases and executive presentations for decision-making. 2511110202181800285


