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2 data analytics jobs found in Hamburg

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WiBU Wirtschaftsbund Sozialer Einrichtungen eG
03/04/2026
Full time
Business Intelligence Manager Reporting & UX (m/f/d)
WiBU Wirtschaftsbund Sozialer Einrichtungen eG 22926 Ahrensburg, Germany
A job that's not only fun – but above all, meaningful. Because at WiBU, we give our all every day for those who give their all. The WiBU Group is headquartered in Ahrensburg near Hamburg and, with over 600 employees and annual revenue of around €200 million, is one of the largest solution providers for the care and healthcare sector in Germany and Austria. With us, you'll find a secure job, friendly people, and an industry that continues to grow. And that's exactly why we are looking for you as a Business Intelligence Manager Reporting & UX (m/f/d) for our interdisciplinary finance and controlling team. To further expand our reporting and control landscape, we are looking for a person who not only has technical expertise in Power BI, but also designs reports in such a way that they are actually used. In this role, you will actively shape the reporting of the WiBU Group: from requirements gathering and modeling to UX-rich dashboards that support sales,...
Securepoint GmbH
17/04/2026
Full time
Machine Learning Engineer (m/f/d)
Securepoint GmbH Hamburg, Germany
Permanent position, full-time Work location: Lüneburg Catchment area: Lüneburg, Hamburg, Uelzen and surrounding areas Introduction Do you want to develop innovative software solutions using artificial intelligence and design real-world applications with state-of-the-art technologies? Then take on a key role with us in the conception and implementation of pioneering AI systems. Your tasks They develop and implement machine learning and AI models for innovative software solutions. They analyze and model large amounts of data as a basis for powerful algorithms. They design and optimize classification and recognition mechanisms for automated data analysis. They integrate AI components into backend and cloud architectures and improve them in terms of performance and scalability. They validate and monitor models throughout the entire ML lifecycle and work closely with relevant departments. That's what we want. Completed...
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