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Join our Nordic Ops Data & Analytics team as an Ops Analyst – build scalable solutions with Power BI, SQL, and Python.
Based in Hvidovre, hybrid role supports Denmark’s largest banking operations and high-volume data across customer journeys.
Ops Analyst
Country: Denmark
Location: All Nordic locations
Function: Operations | Full time
We are strengthening our Ops Data & Analytics team and are looking for an Ops Analyst who wants to work with data beyond traditional reporting — building scalable solutions that support decision‑making across Operations.
You will join a Nordic team supporting one of the bank’s largest functions, working with complex, high-volume data across customer journeys and operational processes.
Key responsibilities
- Build and maintain data pipelines and structured datasets
- Develop and optimize Power BI reports and semantic models
- Analyze data using SQL and Python to support business decisions
- Drive automation and standardization of reporting
- Ensure data quality, documentation and consistent KPI definitions
- Enable self-service reporting for stakeholders
- Translate business needs into scalable data solutions
- Collaborate with Operations, Data Management and IT
Your profile
- 0–5 years of experience within Data & Analytics / BI
- Experience with Power BI and SQL; exposure to Python and data modeling is a plus
- Strong analytical and structured mindset
- Comfortable working with complex datasets
- Curious, proactive and motivated to develop technical skills
- Able to translate data into clear insights for stakeholders
You are proactive, structured and motivated to develop your technical skills. You enjoy solving problems, collaborating across teams and turning data into actionable insights.
We encourage you to apply even if you don’t meet all the requirements. If you have a strong analytical mindset, curiosity and a willingness to learn, we would like to hear from you.
We offer
A dynamic Nordic setup with strong collaboration across countries, where you will work with modern tools (Microsoft Fabric, Power BI, SQL, Python) and contribute to building scalable analytics capabilities in Operations.
For questions, please contact:
Philip Aarup, Team Leader Analytics & Reporting