Senior Business Intelligence & Data Analyst
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Job description
OverviewIn this role, you will design and deliver Power BI-driven BI solutions across the EMEA sales organization to enable data-driven decisions.You will build scalable data models and governance, connect multiple enterprise sources, and provide analytics that support sales performance and forecasting.You will work inside a cross-functional team to transform data into actionable insights, accelerating business impact and continuous improvement.This is a hands-on, on-site position that combines analytics with data architecture to support critical patient-care workflows.ResponsabilidadesDesign and deliver end-to-end Power BI solutions with robust data models and semantic layersIntegrate multiple enterprise sources (ERP, CRM, CPQ) and optimize SQL queries for high performanceEstablish and govern KPI frameworks for consistent, reliable reportingDrive data quality, governance, and best practices in data transformation, documentation, and access controlPerform advanced analytics including exploratory data analysis, forecasting, and predictive modeling to support sales and performance trackingRequisitos principalesB.Sc./M.Sc.in Business, Mathematics, Statistics, Computer Science, Engineering, Economics or related fieldStrong experience with Power BI (data modeling, DAX, Power Query, dashboard design)Knowledge of data architecture principles (data modeling, ETL/ELT, data warehousing)Proficiency in SQL and relational databasesExperience integrating data from CRM systems (e.g., Salesforce), ERP, and other enterprise systemsTravel ability (10%)Power BI (data modeling, DAX, Power Query)SQLData architecture (ETL/ELT, data warehousing)CRM integration (Salesforce)ERP data integrationData governance and quality
Requirements
in Business, Mathematics, Statistics, Computer Science, Engineering, Economics or related field, Strong experience with Power BI (data modeling, DAX, Power Query, dashboard design) Knowledge of data architecture principles (data modeling, ETL/ELT, data warehousing) Proficiency in SQL and relational databases Experience integrating data from CRM systems (e.g., Salesforce), ERP, and other enterprise systems Travel ability (10%) Power BI (data modeling, DAX, Power Query) SQL Data architecture (ETL/ELT, data warehousing) CRM integration (Salesforce) ERP data integration Data governance and quality
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