Data Analyst

Description

**Position: Data Analyst** **Employment Type: CLT** **Work Mode: Remote** **Work Location: Home Office** **Education: Completed Bachelor's Degree** **Mandatory Requirements / Technology / Required Knowledge** **Key Responsibilities** * **Data Analysis and BI: Advanced SQL, Python/R, ETL tools, and experience with Power BI, Tableau, or equivalent.** * **Statistical Modeling and Machine Learning: Anomaly detection techniques, time series analysis, and predictive models.** * **Generative Artificial Intelligence: Knowledge of large language models (LLMs), applications in data analysis, report generation, and insight automation.** * **Data Engineering: Handling large volumes of data, pipelines, APIs, and integration with transactional systems.** * **Software Development: Solid programming fundamentals (Python, Java, or another relevant language), Git version control, testing practices, and software engineering best practices.** * **PIX Regulation: Proficiency in BACEN manuals and regulatory guidelines, with focus on regulatory indicators (ANs, IGAM, IGAT, timeout, etc.).** * **Architecture and Monitoring: Experience in high-availability environments, performance metrics, and integration with observability tools.** * **Desirable** * **Experience in the financial sector or payment systems.** * **Familiarity with agile methodologies (Scrum/Kanban).** * **Knowledge of information security practices and LGPD as applied to data processing.** * **Responsibilities** * **Responsibilities and Required Knowledge** * **Data Analyst** * **Analyze the vast volume of data generated by PIX functionalities, identifying patterns, trends, and behavioral deviations.** * **Develop and maintain monitoring dashboards and alerts to support decision-making and risk prevention.** * **Work directly with PIX regulatory indicators (ANs, IGAM, IGAT, timeout index), ensuring compliance with the PIX Timing Manual and other BACEN regulations.** * **Support the development of predictive models and advanced analyses for anomaly detection and operational improvements.** * **Collaborate with business units and technical teams to transform data into strategic insights.** * **Explore and apply Generative Artificial Intelligence in use cases focused on data analysis, report generation, and process automation.** * **Participate in software development projects for data and monitoring solutions.**