About the project
Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.
Impressit is looking for a Principal Visualization Engineer/Data Analyst to join a strategic Data &Analytics team. This role focuses on shaping enterprise-level visualization and analytics strategy, building scalable BI solutions, and partnering with trading, risk, and operations leadership to transform complex business needs into actionable data products. This is a high-impact position working with large energy trading datasets, advanced analytics platforms, and executive stakeholders.Important: Must be located in Spain / Portugal.
What you will do
Lead enterprise-level development of BI products and visualization strategy
Define and implement reusable visualization patterns and federated dataset strategies
Translate ambiguous business requirements into clear analytics roadmaps and scalable data products
Partner with trading, risk, and operations leadership to deliver decision-driving insights
Facilitate story-driven analytics reviews and executive presentations
Establish standards for visualization design, quality, and governance
Lead analytics design councils and community of practice initiatives
Promote adoption of certified datasets and reusable analytics assets
Champion data governance, developer enablement, and analytics best practices
Influence analytics platform and investment decisions across the organization
What we expect
12+ years of commercial experience in Data Analytics, Business Intelligence, or Data Visualization
Expert-level experience with Power BI, including Advanced DAX, Power Query, semantic modeling, security configuration, and deployment in Power BI Service
Strong expertise in SQL, including query optimization, diagnostics, and performance tuning across large datasets
Solid experience with dimensional data modeling (star/snowflake schemas, conformed dimensions, calculation groups)
Deep understanding of data visualization and information design, including accessibility, storytelling, and interaction patterns
Experience designing reusable datasets and scalable BI architectures for enterprise environments
Hands-on experience with governance and BI DevOps practices, including workspace strategy, dataset certification, version control (Git), and CI/CD pipelines
Strong understanding of Agile methodologies and cross-functional collaboration
Proven ability xhfqzwm to lead analytics initiatives across multiple teams or business domains
Excellent communication skills and ability to influence senior and executive stakeholders
As a plus
Experience working in energy trading, commodities, or financial trading environments
Knowledge of trading concepts, including P&L drivers, exposure, positions, and risk metrics
Experience with Azure data platforms, such as Databricks, Azure Data Factory, or Microsoft Fabric
Familiarity with data cataloging and dataset reuse strategies
Experience using Python for data preparation or analysis
Ready to join the team?
Employee benefits
We are passionate about everything we do, and with Impressit you will get:
Professional education and training budget
#J-18808-Ljbffr
or continue with email
Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.
Impressit is looking for a Principal Visualization Engineer/Data Analyst to join a strategic Data &Analytics team. This role focuses on shaping enterprise-level visualization and analytics strategy, building scalable BI solutions, and partnering with trading, risk, and operations leadership to transform complex business needs into actionable data products. This is a high-impact position working with large energy trading datasets, advanced analytics platforms, and executive stakeholders.Important: Must be located in Spain / Portugal.
What you will do
Lead enterprise-level development of BI products and visualization strategy
Define and implement reusable visualization patterns and federated dataset strategies
Translate ambiguous business requirements into clear analytics roadmaps and scalable data products
Partner with trading, risk, and operations leadership to deliver decision-driving insights
Facilitate story-driven analytics reviews and executive presentations
Establish standards for visualization design, quality, and governance
Lead analytics design councils and community of practice initiatives
Promote adoption of certified datasets and reusable analytics assets
Champion data governance, developer enablement, and analytics best practices
Influence analytics platform and investment decisions across the organization
What we expect
12+ years of commercial experience in Data Analytics, Business Intelligence, or Data Visualization
Expert-level experience with Power BI, including Advanced DAX, Power Query, semantic modeling, security configuration, and deployment in Power BI Service
Strong expertise in SQL, including query optimization, diagnostics, and performance tuning across large datasets
Solid experience with dimensional data modeling (star/snowflake schemas, conformed dimensions, calculation groups)
Deep understanding of data visualization and information design, including accessibility, storytelling, and interaction patterns
Experience designing reusable datasets and scalable BI architectures for enterprise environments
Hands-on experience with governance and BI DevOps practices, including workspace strategy, dataset certification, version control (Git), and CI/CD pipelines
Strong understanding of Agile methodologies and cross-functional collaboration
Proven ability xhfqzwm to lead analytics initiatives across multiple teams or business domains
Excellent communication skills and ability to influence senior and executive stakeholders
As a plus
Experience working in energy trading, commodities, or financial trading environments
Knowledge of trading concepts, including P&L drivers, exposure, positions, and risk metrics
Experience with Azure data platforms, such as Databricks, Azure Data Factory, or Microsoft Fabric
Familiarity with data cataloging and dataset reuse strategies
Experience using Python for data preparation or analysis
Ready to join the team?
Employee benefits
We are passionate about everything we do, and with Impressit you will get:
Professional education and training budget
#J-18808-Ljbffr
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