Senior Data Analyst

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Conduct statistical analyses of the litigation portfolio to identify conviction trends, patterns among courts and judges, as well as the likelihood of success in legal proceedings.

• Create studies to assess legal risks, support financial provisions, and inform settlement strategies.

• Develop Power BI dashboards featuring indicators that encompass case volumes, litigation outcomes, legal notices, and associated risks.

• Utilize exploratory analysis and clustering models to categorize litigation and contracts, pinpointing patterns, anomalies, and sources of claims.

• Examine data derived from Artificial Intelligence models, merging information from court cases and clients to assist legal and technical teams.

• Collaborate with Data Engineering to maintain the quality, integrity, and consistency of data sources.

• Clearly present analyses and findings to attorneys, Product Owners, and other stakeholders.

• Operate within the financial services sector, emphasizing data analysis and jurimetrics for the legal department.

⛳️ Requirements

• Proficient in advanced SQL for querying and extracting substantial datasets.

• Skilled in Python, particularly with Pandas and NumPy for data manipulation and exploratory analysis.

• Knowledge of descriptive and inferential statistics as applied to legal risk and data analysis.

• Experience with jurimetrics in high-volume litigation contexts.

• Familiarity with Power BI, including its architecture, dimensional modeling using Star Schema, and creating interactive dashboards.

• Understanding of Machine Learning, focusing on unsupervised learning and clustering models for data segmentation.

• Capability in curating, validating, and structuring complex and poorly standardized data.

• Expertise in executive communication and Data Storytelling to convert analyses into decision-support information.

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related field with a quantitative and analytical basis.

• Experience in the financial services sector is advantageous.

• Background in large companies and handling extensive data volumes is a plus.

• Knowledge of strategic management and project management is beneficial.

• Graduate degree or certifications in IT, Data Science, Machine Learning, or Business Intelligence are a plus.

🏝️ Benefits

• Health and dental insurance.

• Meal and food allowance on the Flash card.

• Work-from-home allowance.

• Gympass / Wellhub.

• Life insurance.

• Extended maternity and paternity leave.

• Various partnerships and discounts for education, healthcare, and leisure, including at universities, language schools, gyms, and healthcare clinics.

• Continuous feedback culture, featuring semiannual feedback reviews, 1:1 meetings, an Individual Development Plan (IDP), and BHS Experience.