Sabesp

Data Analyst

• Perform functional analyses and support the definition of key performance indicators (KPIs), financial metrics, and business rules, ensuring alignment between technical teams and stakeholders.
• Structure, model, and maintain analytical datasets, ensuring consistency, performance, and reusability of information.
• Develop, enhance, and validate management and executive reports and dashboards, ensuring clarity, reliability, and adherence to corporate guidelines.
• Work hands-on in integrating and processing data from multiple sources (Oracle, manual files, and automated processes), ensuring data quality and traceability.
• Support the evolution of the analytics platform using technologies such as Azure, GCP, and Databricks, focusing on analytical consumption, scalability, and BI best practices.
• Define, implement, and monitor data quality and governance controls, including technical and functional validations, acting as the focal point for financial information reliability.
• Ensure the integrity, consistency, and auditability of data used in analyses, reports, and executive presentations.
• Support the automation and scheduling of data refresh routines using orchestrators (e.g., Azure Data Factory, Google Cloud Dataflow, Apache Airflow), ensuring operational stability.
• Apply code versioning practices (e.g., Git) for control and collaboration on data projects.
• Actively contribute to defining standards, analytical architecture, best practices, and technical direction, supporting the maturity of the BI function.

Data and BI Analyst – Finance