Senior Data Analyst (Legal Analytics / Jurimetrics)

New
J
JobgetherLegal analytics
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLMicrosoft Power BITableauR

Requirements

  • Have solid professional experience in Data Analytics, Data Science, or a related field.
  • Have specialized knowledge of Jurimetrics and legal data analysis.
  • Demonstrate command of applied statistics, inferential statistics, regression analysis, and predictive modeling.
  • Have practical experience using Python and/or R for statistical analysis and data manipulation.
  • Have advanced SQL skills and experience working with large datasets.
  • Have experience with data visualization tools such as Power BI or Tableau.
  • Know Machine Learning methodologies and predictive analytics techniques.
  • Have experience analyzing judicial proceedings, litigation data, and/or contractual information.
  • Know data modeling, ETL processes, and integrating information from multiple sources.
  • Banking or financial services experience is a plus.
  • Experience in Legal departments of financial institutions is a plus.
  • Familiarity with Legal Analytics, LegalTech, and legal intelligence solutions is a plus.
  • Experience analyzing legal contingencies and litigation provisioning is a plus.
  • Familiarity with judicial databases, court systems, and case-tracking platforms is a plus.
  • Knowledge of Brazil's General Data Protection Law (LGPD), data governance, and data security practices is a plus.

Responsibilities

  • Develop statistical analyses and quantitative models for Jurimetrics, focusing on judicial proceedings, legal contingencies, and banking contracts.
  • Collect, organize, clean, process, and analyze large volumes of legal, procedural, and contractual data.
  • Build predictive models to estimate litigation outcomes, success probabilities, potential court awards, and financial exposure.
  • Identify behavioral patterns and trends across courts, regions, judicial divisions, law firms, attorneys, legal topics, and types of claims.
  • Design and maintain KPIs, dashboards, and management reports to monitor litigation portfolios and support strategic decision-making.
  • Apply Machine Learning, statistical modeling, and exploratory data analysis techniques to identify trends, risks, and business opportunities.
  • Collaborate with Legal, Technology, and Business teams, translating legal requirements into analytical solutions.
  • Conduct performance and efficiency analyses of litigation portfolios to support the optimization of legal strategies.
  • Ensure the quality, integrity, consistency, and governance of datasets used in analytical processes.
  • Present findings, insights, and strategic recommendations to management and key stakeholders.
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