Analista de Ciência de Dados

Builds data capability for Brazil’s Justiça 4.0 programme, improving the quality, accessibility and use of judicial data. The analyst engineers and analyzes large process-data sets, develops diagnostics, dashboards and predictive models, and works with CNJ and UNDP teams to turn reliable evidence into better judicial management, transparency and technology transfer.

• Extract, clean and process large volumes of data from CNJ data sources
• Structure data sources to ensure consistency across judicial datasets
• Identify anomalies and data-quality failures and implement corrective routines
• Produce statistical reports, panels and dashboards using charts, tables and maps
• Develop predictive and classification models to inform decision-making
• Support CNJ and UNDP focal points with project implementation and validate project tools and systems
• Systematize methods that transfer technology and knowledge to CNJ

• Advanced degree in statistics, computer science, mathematics, software engineering, information science or a related field; a bachelor’s degree in these fields with two additional years of qualifying experience may be considered
• At least two years of experience in extracting, processing, structuring and analyzing data with a bachelor’s degree
• Fluency in Portuguese

• Experience extracting, processing and analyzing large data volumes
• Experience with R programming
• Experience with Python programming
• Experience with relational or non-relational databases
• Experience with data-visualization tools
• Experience with judicial-sector datasets or public-sector projects

• Data Engineering
• Data Cleaning
• Data Quality
• Statistical Modeling
• Predictive Modeling
• Data Visualization
• Database Management
• Data Analysis
• Technical Support
• Knowledge Transfer

• R
• Python
• ClickHouse
• PostgreSQL
• Elasticsearch
• Qlik Sense
• Streamlit
• Power BI
• R Shiny

• Home-based role