Data Analyst supporting the operation of virtual power plants at DieEnergiekoppler GmbH. Analyze data, improve marketing potential, and support client operations in an agile environment.
About the role
- 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.
Benefits
- Health insurance
- Private pension plan
- Meal voucher (VR) and food voucher (VA)
- Transportation voucher
- Christmas hamper
- Birthday day off
- Extended maternity and paternity leave
- Childcare assistance for mothers and fathers
- Wellhub (Gympass) corporate wellness benefit
- Results Participation Program (PPR)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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