Data Analyst supporting financial decision-making through BI solutions at Sabesp. Focused on creating reliable analytical data platforms and dashboards.
Responsibilities
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.
Requirements
Strong experience in functional requirements analysis, with a solid understanding of financial processes and business indicators.
Experience structuring, modeling, and maintaining analytical databases and datasets for BI consumption, preferably in environments using Databricks.
Experience integrating, processing, and consolidating data from legacy environments such as Oracle (PL/SQL), flat files, and semi-automated processes.
Experience with data quality applied to BI, including:
• Business rule validations and financial consistency
• Completeness, integrity, and compliance controls for data
Previous experience in Business Intelligence, Analytics, or Data projects in corporate environments, with frequent interaction with business areas.
Experience developing and maintaining dashboards, management reports, and KPIs using Power BI.
Experience using data orchestrators for updating and automating analytical routines, as well as versioning practices for BI artifacts.
Bachelor's degree in Engineering, Computer Science, Information Systems, Business Administration, Economics, or related fields.
Proficiency in SQL for data analysis, transformation, and validation, and knowledge of Python applied to analytical routines and automations.
Mandatory experience with cloud data platforms (Azure and/or GCP) and Databricks, focusing on analytical consumption, Data Lake, and Delta Lake.
Knowledge of analytical data modeling (facts, dimensions, metrics, and KPIs) and integrating multiple data sources.
Experience with data governance practices, information quality, and traceability of data used in reports and dashboards.
Familiarity with agile methodologies (Scrum, Kanban) and collaborative work in multidisciplinary teams.
Certifications in Power BI, Azure, GCP, or Databricks will be considered a plus.
Good communication skills, strong analytical ability, autonomy, and ability to interact with technical and business stakeholders.
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