Description: Technical Skills * Data Analysis and Modeling: expertise in statistical, predictive, and diagnostic analysis techniques to generate relevant insights and support strategic decision-making; * Programming Languages: proficiency in Python and SQL for data manipulation, processing, and automation; * Visualization and Storytelling: expertise in Power BI (and related tools) to communicate results clearly and strategically; * ETL and Integrations: experience in extracting, transforming, and loading data, ensuring accuracy and consistency in utilized datasets; * Innovation and Process Optimization: proposing improvements and leveraging new technologies to increase efficiency and reduce rework; * AI and Predictive Models: applying machine learning and artificial intelligence techniques focused on generating business value. Behavioral Skills * Analytical Ability: capability to interpret complex data and transform it into actionable information; * Continuous Learning: ongoing pursuit of technical and methodological updates, with knowledge sharing within the team; * Collaboration and Teamwork: integrated work across different departments, maintaining focus on shared objectives and high-impact deliverables; * Process and Structural Awareness: understanding of business workflows and identification of opportunities for operational and strategic improvement; * Communication and Influence: clarity in presenting results, data-driven argumentation, and assertive negotiation skills. * Develop, implement, and maintain data analysis and reporting solutions using Python, SQL, Power BI, and other market-standard tools; * Automate business processes and rules, ensuring efficiency, traceability, and scalability of deliverables; * Design and evolve managerial and strategic dashboards and reports, ensuring clarity, accuracy, and alignment with customer and internal department needs; * Conduct exploratory, descriptive, and predictive analyses to validate hypotheses, identify trends, and generate business insights; * Collaborate with technology, data engineering, customer success, and product teams to translate requirements into practical, results-oriented solutions; * Document and version analytical code, workflows, and processes, ensuring standardization and transparency in deliverables; * Participate in defining and evolving metrics, KPIs, and analytical models that support sustainable business growth; * Ensure the quality and success of deliverables, maintaining collaborative relationships with colleagues, customers, and partners; * Follow and enhance internal procedures and best practices, contributing to the company’s reputation and image. 2511290202181836150