• Design, develop, and maintain interactive dashboards, reports, and scorecards using Power BI. • Create and optimize complex data models, DAX calculations, measures, and KPIs. • Develop and maintain automated workflows using Power Automate. • Collaborate with business users, functional teams, and technical stakeholders. • Ensure data accuracy, consistency, security, and performance across all reporting solutions. • Optimize reports, troubleshoot issues, and fine-tune performance.

• Design, develop, and maintain BI solutions (reports, dashboards, and data models) that support operational and strategic decision-making. • Translate business requirements into scalable data models and meaningful visualizations. • Build and optimize ETL/ELT processes to ensure reliable and timely data availability. • Work closely with Data Engineers to improve data quality, performance, and architecture. • Partner with business stakeholders to define KPIs and ensure consistent metric definitions. • Improve existing reporting solutions, focusing on usability, performance, and maintainability. • Support data governance practices and documentation standards. • Troubleshoot data issues and proactively identify opportunities for improvement.

• Design, develop, and maintain Power BI dashboards and reports for business stakeholders • Model and transform data to ensure performance and usability (ETL / data modeling) • Integrate Power BI solutions with AWS-based data pipelines • Develop and maintain Python microservices for data processing (when required) • Optimize queries, datasets, and report performance • Collaborate with data engineers and business teams to translate requirements into technical solutions • Ensure data quality, reliability, and scalability of BI solutions

• Desarrollo, mantenimiento y evolución de procesos ETL, así como del diseño de modelos de datos e informes para dar soporte a las necesidades del negocio. • Monitorización de los sistemas BI, la resolución de incidencias, la optimización del rendimiento y la garantía de la calidad, integridad y disponibilidad de los datos. • Definición de soluciones junto con equipos de negocio y tecnología, así como su soporte técnico y mantenimiento correctivo y evolutivo, incluyendo la gestión de procesos críticos y cargas programadas. • Despliegues, migraciones, control de versiones y aplicación de buenas prácticas de desarrollo en entornos de datos.