Descripción del trabajo About the project 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 Dev Ops practices, including workspace strategy, dataset certification, version control (Git), and CI/CD pipelines Strong understanding of Agile methodologies and cross-functional collaboration Proven ability 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 Employee benefits Professional education and training budget #J-18808-Ljbffr
or continue with email
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more