Senior Data Analyst, Power BI
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Job Description
Data Analyst specialized in Power BI and Analytics at INDT Innovation. Responsible for improving and optimizing corporate dashboards and analytical solutions.
Responsibilities:
- Evaluate dashboards developed by business areas, proposing improvements in performance, usability, user experience, and governance
- Identify processing bottlenecks, excessive resource consumption, and issues related to data modeling
- Review and optimize Power Query (M) queries, semantic models, and DAX measures
- Standardize layouts, KPIs, metrics, and navigation experiences across dashboards
- Perform advanced troubleshooting on reports, datasets, and Power BI environments
- Apply and disseminate corporate standards for dashboard and analytical solution development
- Ensure adherence to data governance and information security policies
- Validate the traceability of metrics as well as the functional and technical documentation of solutions
- Evaluate analytical architectures from the perspective of scalability, efficiency, and sustainability
- Support integration between Power BI, Data Lake, Databricks, Microsoft Fabric, and other corporate platforms
- Monitor capacity, utilization, and performance of Power BI environments
- Define strategies for partitioning, aggregations, and dataset optimization
- Act as a technical reference for Power BI users and developers
- Support business areas in adopting best practices for analytics, visualization, and data management
Requirements:
- Strong, advanced experience with Power BI
- Experience developing and optimizing corporate dashboards
- Advanced knowledge of dimensional modeling, including Star Schema
- Proficiency in Power Query (M)
- Advanced DAX skills
- Experience publishing and administering Workspaces
- Knowledge of Row-Level Security (RLS)
- Experience analyzing and optimizing performance using Performance Analyzer
- Knowledge of Deployment Pipelines
- Advanced SQL skills
- Experience with data modeling and ETL/ELT processes
- Knowledge of Data Warehouse and Data Lake concepts
- Experience integrating data from multiple sources
Benefits:
- Remote work, with occasional on-site presence as required by the project
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