Education: Bachelor’s degree in a related field.
Technical Python course is a plus.
Advanced SQL
Ability to develop complex queries, optimize queries, create stored procedures, and handle large volumes of data (e.g., SQL Server, Oracle, etc.).
ETL / Data Integration
Experience with ETL/ELT processes and integrating multiple sources (APIs, files, databases, cloud), ensuring data quality and consistency.
Supporting languages (Python or similar)
Use of Python (pandas, automation, data cleaning) or other languages for data manipulation, analysis and process automation.
Business acumen
Ability to translate business needs into analytical solutions, with understanding of indicators (KPIs), SLAs and operational processes.
Communication and consultative profile
Ability to interact with stakeholders, gather requirements, lead meetings and present results clearly and strategically.
Machine Learning / Advanced Analytics
Experience with predictive models, applied statistics, or the use of machine learning libraries.
Technical English
Ability to read and understand technical documentation and interact in global corporate environments.
Information security applied to data
Understanding of security policies, LGPD (Brazilian General Data Protection Law), anonymization and protection of sensitive data.
Agile methodologies
Experience with Scrum, Kanban or other agile methodologies in data projects.

Business Intelligence Analyst III

Key skills