Description: For this position, we expect you to have: * Intermediate to advanced SQL (preferably in BigQuery, but experience with other databases is acceptable). * BI tools: Power BI, Metabase, Data Studio, or Looker. * Basic knowledge of cloud computing (preferably GCP; experience with AWS or Azure is a plus). * Ability to structure analyses and present results clearly (data storytelling). * Basic knowledge of ETL/ELT processes and best practices in data governance. Desirable (but not mandatory) skills: * Programming in Python or R for analysis and automation. * Familiarity with Machine Learning, statistical modeling, or predictive techniques. * Prior experience with data pipelines or orchestration tools. Day-to-day responsibilities: * Conduct data analyses, identifying patterns and generating insights to support business areas, with moderate scope and intermediate complexity. * Contribute to data modeling, validating business rules and applying basic data governance best practices. * Develop and maintain dashboards and reports in BI tools (Power BI, Metabase, Data Studio, Looker Studio, or similar). * Extract, process, and manipulate data in BigQuery and cloud computing environments, ensuring data consistency and integrity. * Collaborate with Data Engineers to validate and improve existing pipelines and data structures. * Support other analysts in executing tasks, sharing knowledge as needed, without formal leadership responsibility. * Suggest improvements to analytical processes and workflows, contributing to greater efficiency and standardization. * Seek to understand business rules and stakeholders’ needs, participating in planning and defining metrics and KPIs. * Assist in documenting processes, calculation rules, and data structures, following information security guidelines and LGPD requirements. * Monitor the data lifecycle under your responsibility, ensuring clarity, context, and quality of deliverables. 2512210202551875551