Description: Apply quickly via email: Requirements and qualifications: For this opportunity, it is essential that you have: * Experience with SQL and relational databases. * Practical experience with BI tools (Metabase preferred). * Knowledge of Python for data analysis and manipulation. * Ability to design data models and deliver end-to-end analyses. * Analytical mindset, attention to detail, and commitment to quality. * Autonomy and proactivity to learn and propose solutions in a developing environment. Desirable: It would be a plus if you: * Have experience with Data Lake and best practices in data engineering. * Have experience in digital product environments or startups. * Can translate complex analyses into clear, visual presentations. * Have implemented or monitored data quality processes. Benefits: Health insurance, Bonus, Birthday day-off, Meal or Food allowance of R$ 30.00, Transportation allowance or Fuel assistance of R$ 15.00 Working hours: Monday to Friday, from 09:00 to 18:00 Knowledge: Education: Bachelor’s degree — Administration, Systems Analysis and Development, Computer Science, Economics, Data Engineering, Software Engineering, Statistics, Mathematics, Information Systems — Completed 2512190202551755681