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From 10,536 similar postings that came down. Coming down is not always a hire.
Netherlands
Actively hiring, first seen by us 2 days agoDesign and develop interactive Power BI dashboards and analytical reports
Create reusable semantic models, star schemas and DAX measures
Optimize report performance and manage data refresh schedules
Implement row-level security and Power BI governance measures
Lead report migration and workspace governance during the transition
Design and develop interactive Power BI dashboards and analytical reports for enterprise use
Create reusable semantic models, star schemas, and DAX measures for efficient reporting
Optimize report performance and manage data refresh schedules
Implement row-level security, data classification, and Power BI governance measures
Lead report migration, inventory management, and workspace governance during transition
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 5 and day 41.
From 10,536 similar postings that came down. Coming down is not always a hire.
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
We're looking for a Senior Power BI Engineer to join our team in Delft, Netherlands, in a hybrid working mode. In this role, you will design, develop, and deliver advanced Power BI solutions for a global client operating in the Life Sciences and Pharma sectors. You will play a key part in visualizing data for Supply Chain, Manufacturing, Finance, and Customer domains, collaborating with cross-functional teams to ensure seamless transition, governance, and delivery within a vendor consolidation program. Responsibilities Design and develop interactive Power BI dashboards and analytical reports for enterprise use Create reusable semantic models, star schemas, and DAX measures for efficient reporting Optimize report performance and manage data refresh schedules Translate business KPIs and requirements into visual and functional dashboards Implement row-level security, data classification, and Power BI governance measures Lead report migration, inventory management, and workspace governance during transition Collaborate with data engineers to ensure high-quality and analytics-ready data layers Establish and maintain Power BI development standards and best practices Support self-service analytics enablement across business domains Provide mentoring and guidance to junior visualization engineers Requirements 5+ years of professional experience in Power BI development and data visualization Hands-on experience in Life Sciences or Pharma domain environments Strong knowledge of Power BI Desktop, DAX, Power Query (M Query), and Star Schema modeling Proficiency in SQL and data integration from multiple enterprise sources Familiarity with SSAS Tabular Models, Azure Data Factory, and Databricks data layers Knowledge of Power BI Premium, composite models, and performance optimization techniques Excellent ability to translate complex KPIs into effective designs and presentations Experience implementing visualization standards and Power BI governance frameworks Effective communication and documentation skills in English (B2 level or higher) Bachelor’s degree in Computer Science, Data Analytics, Information Technology, or related field Nice to have Experience with Spotfire visualization tools Familiarity with Power Apps integration and SSRS Paginated Reports Exposure to Agile/Scrum delivery environments Understanding of AWS/Azure hybrid data platforms Experience in analytics adoption and stakeholder data storytelling
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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Netherlands
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