
Business Intelligence Lead
XB528
- Erfaring:6 years
- Fagområde:Analyse / Data / Statistik / Controlling, Forretningsudvikling / Organisationsudvikling / Digitalisering, Ledelse / Projektledelse / Teamledelse, Teknologi / Software / IT
- Geografi:Hovedstadsområdet, Remote - DK
- Sprog:Engelsk, Portugisisk
- Lønniveau:80.000 - 95.000 kr./md.
- Stillingstype:Fastansættelse, Fuldtid, Fysisk fremmøde, Hybrid, Projektansættelse, Remote
Business Intelligence Lead
XB528
This talent is an excellent match if you are looking for a strategic and business-oriented professional who can lead digital transformation across large, international organizations. With deep insight into how data, systems, and people interact, this talent helps structure complex information flows, optimize reporting processes, and ensure that data-driven initiatives create real transparency and impact across the business.
With strong experience in business intelligence, digitalization, and cross-border project work, this talent has supported large-scale organizations across sectors such as technology, manufacturing, and operations. He is skilled at identifying where data science and digital tools can create value, planning and scoping the right approach, and aligning teams and stakeholders across functions and geographies. Collaborating closely with data scientists and technical experts, he has helped build data platforms and reporting solutions used by tens of thousands of users globally.
Known for a structured, quality-driven, and goal-oriented mindset, this talent brings both strategic clarity and operational drive – enabling your organization to turn complexity into actionable plans, scale data solutions, and strengthen your digital core.
Digitalization Strategy * Business Intelligence * Data Science * Reporting Optimization * Cross-Border Execution * Stakeholder Management * Data Platforms * PowerBI * SQL * Python * ETL/ELT * Data Management * Digitalization
Contact IQ-Rekruttering for more information on this talent
Education |
Experience |
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Master of Science in Engineering – Operations and Innovation Management
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6 years experience in Business Intelligence and data 15 years experience from large organisations |