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Position Summary: Data analyst with experience in insurance, responsible for data acquisition, preparation, and analysis for predictive modeling and decision-making, communicating results. Key Highlights: 1. Data identification and analysis for decision-making. 2. Development of predictive models and Python programming. 3. Use of data visualization tools such as PowerBI. **Description** --------------- **The Role** * Data acquisition: Identification of datasets and data retrieval techniques for analysis and processing. * Data preparation: Application of techniques to understand data through preliminary analysis and examination of its nature (correlation, trends). * Data analysis: Selection of appropriate techniques and construction of processing models (predictive models, classification, clustering, etc.). * Communication of analysis/processing results. * Application of results from the developed model: Decision-making, etc. * Comparative analysis of data (Health Plans) and occupational risks. * Claims frequency reports. * Negotiation with insurance companies. **Qualifications** ------------------ * **Requirements** * Minimum 1 year of experience in insurance brokers or insurance companies. * Knowledge of databases, data extraction, predictive modeling, and Python programming. * Proficiency in data visualization tools such as PowerBI. * Advanced proficiency in Excel and PowerPoint. * Ability to communicate analysis results to team members. * Skills in data analysis, statistics, decision-making, and effective communication. *Equal Employment Opportunity*
