. **Responsibilities and Assignments** * Analyze cases of medical procedures and their approval/rejection outcomes, comparing them with medical feedback to identify inconsistencies and propose adjustments to model rules. * Evaluate model approval decisions (approved vs. denied); * Compare decisions with medical feedback and justifications; * Identify discrepancies between rules and clinical practice; * Review and adjust written model rules; * Document changes and clinical/analytical reasoning; * Suggest improvements to increase accuracy and consistency; * Support standardization of decision criteria; * Use SQL for querying, manipulating, and analyzing data related to approval and audit processes; * Work with BigQuery for extraction, processing, and analysis of large volumes of data; * Develop analyses and automations in Python to optimize processes and improve operational efficiency; * Handle large volumes of information while ensuring performance, reliability, and quality in analyses performed; **Requirements and Qualifications** **Requirements:** * Experience in data analysis or process review; * Experience with SQL for querying, manipulating, and analyzing data; * Experience with BigQuery for extraction, processing, and analysis of large volumes of data; * Knowledge of Python applied to data analysis and automation; * Ability to work with large volumes of information while ensuring performance and reliability in analyses; * Knowledge of data quality, including validation, consistency, integrity, and monitoring of information; * Experience validating decision models and analytical criteria, ensuring result consistency and reliability; * Experience creating structured and organized technical and analytical documentation; * Strong ability to interpret and analyze technical texts, including medical reports and opinions; **Desirable Requirements:** * Experience with healthcare data, health insurers, medical auditing, regulation, or insurance; * Familiarity with medical reports, opinions, clinical protocols, or guidelines; * Experience with automated decision models; * Experience in quality review, rule validation, or continuous process improvement; * Basic understanding of LGPD, privacy, and handling of sensitive data—especially health data; Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies. We equip our team with proprietary and external AI\-driven tools to design and build digital\-native platforms, integrating cutting\-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets. To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies. We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth. **Join us and be part of the AI\-driven revolution.**
João Silva
Indeed · HR
João Silva
Indeed · HR
