Description: First and foremost, you must align with our purpose: to value people so that each individual can build their own story. Additionally, it is desirable that you have * Prior experience in the Data field; * Bachelor’s degree in Computer Science, Software Engineering, Statistics, or related fields; * Knowledge of data analysis and visualization tools (Power BI, Excel, Tableau are a plus); * Proficiency in SQL and relational and non-relational databases (SQL Server, MySQL, MongoDB, Postgres); * Knowledge of Python and libraries for data analysis (Pandas, NumPy, Matplotlib); * Basic understanding of Machine Learning and Generative AI (Scikit-learn, use of APIs such as OpenAI, Hugging Face, Azure AI); * Familiarity with data automation tools (Airflow, dbt, n8n, or equivalents); * Ability to structure prompts and interact with language models (basic prompt engineering); * Strong communication skills and ability to translate analyses into practical business recommendations; * Knowledge of Spark is a plus. Your challenges will include * Collaborating with technology, business, Data Scientists, and Data Engineers on analytical and automation projects; * Operating and configuring data automation tools and agents, ensuring analysis quality and consistency; * Mining data from primary and secondary sources, cleaning and organizing relevant information; * Evaluating and validating outputs generated by generative AI (dashboards, texts, analyses) to ensure accuracy and reduce bias; * Analyzing and interpreting results using statistical techniques and analytical tools; * Identifying trends and patterns within datasets, suggesting improvements to business processes; * Creating automated reporting and dashboard workflows, reducing manual repetitive tasks; * Supporting rapid experimentation initiatives with AI models in collaboration with Data Scientists; * Documenting, versioning, and monitoring completed work according to established standards. 2512040202181808951