What you’ll do:
As a Data Analyst & Reporting Expert you will:
· Closely work with our Security & Risk Management Leadership team and our DevOps teams and enable them to build and operate secure and compliant software.
· You will apply your knowledge in data analysis and reporting design, to support our security reporting needs by addressing various business problems. By developing, and testing of software and scripts, as well as data evaluation, your work will enable accurate, scalable reporting for audits, KPIs, and strategic tracking and improve our impact of security initiatives.
Hereby you will drive projects, define deliverables and provide advice and interpretation of situations to the higher management to ensure business critical & innovative results.
What you bring:
· University degree in Computer Science, Data Science, Mathematics, Physics, Software Engineering, Business Economics, Business Management or other adequate qualifications
· Hands-on experience developing scalable, cloud-based web applications, data analysis & processing ideally with Python
· Experience in data analysis, machine learning algorithms, statistical modelling and data visualization e.g. with SAP Datasphere, SAP Analytics Cloud, PowerBI
· Solid knowledge in GenAI, Large Language Models, Agentic AI frameworks and their application are an asset
· Knowledge in cloud technology as well as lean or agile DevOps practices and development frameworks are an asset
· Basic knowledge in security is an asset
· Proactive mindset, strong ownership and team spirit
· Fluent English language skills, both spoken and written
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Job Segment:Data Analyst, Cloud, User Experience, Test Engineer, ERP, Data, Technology, Engineering
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