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Data Coordinator - Legal Modeling | Belo Horizonte
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
R. Espírito Santo, 700 - Centro, Belo Horizonte - MG, 30160-030, Brazil
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Description

Description: We are looking for a candidate with: * Bachelor's degree in Statistics, Computer Science, Engineering, Economics, Business Administration, or related fields; * Proficiency in programming languages such as Python for data analysis and modeling; * Advanced experience with data visualization tools such as Power BI; * Knowledge of Snowflake; * Proficiency in SQL for manipulating and extracting data from large databases; * Vertex AI Notebooks: To develop our own Python scripts and consume the API; * Knowledge of statistical techniques and predictive models (regression, cluster analysis, decision trees, etc.); * Knowledge of financial management for forecasting and performance tracking; * Statistical analysis for forecasting, segmentation, optimization, and other applications. Work Location: Belo Horizonte/MG (hybrid work); Your main challenges will be: * Explore and integrate AI and automation technologies to optimize legal/financial processes and deepen analytical insights; * Develop and implement the results management strategy to support business and legal objectives; * Lead the Data Team, defining priorities, methodologies, and work standards; * Collect, clean, and analyze data from multiple sources (Legal System and corporate databases); * Build automated dashboards and reports to monitor key metrics—such as financial results, legal performance, and operational efficiency; * Conduct predictive analyses to anticipate trends and risks, such as the likelihood of new lawsuits or the impact of judicial proceedings; * Collaborate with business leaders and departments to understand their needs and deliver customized insights; * Present analytical results clearly and concisely, influencing strategic decision-making across the organization; * Generate forecasts of results and expenses related to legal actions and institutional products; * Ensure data integrity, security, and compliance within the Legal domain; * Stay up-to-date with the latest trends and best practices in legal operations and data science. 2512060202191853008

Source:  indeed View original post
João Silva
Indeed · HR

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