Bank Norwegian

Fornebu

Are you ready to be a key contributor within the Data &amp; Analytics Engineering department at NOBA Bank Group? Your focus will be on advancing analytics capabilities, optimizing data workflows, driving innovation in the cloud, and unlocking the full potential of the organization’s most valuable asset -- data. 
About the role:
The Data &amp; Analytics Engineering department comprises specialized teams focused on Data Infrastructure Engineering, Analytics Engineering, and Data Management.
As a Data Analytics Engineer, you'll play a central role in building and optimizing the organization's supporting analytics layer, collaborating across the bank. This role offers broad opportunities to grow and make a tangible impact!
We offer a hybrid working model with two common in-office days. While we value flexibility, we also prioritize collaboration, team-building, and enjoying fikas and after-work gatherings together! 
Main tasks:
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Design and implement efficient data models, focusing on analytics workflows and end-user usability.
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Build robust and scalable data pipelines to support business intelligence and analytics needs.
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Collaborate closely with internal stakeholders, such as Risk, Finance, and IT, to ensure data solutions align with business needs.
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Ensure data quality, security, and compliance throughout the analytics lifecycle.
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Drive technical improvements, introducing modern tools and processes to enhance analytics capabilities.
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Partner with other engineers to align transformation processes for analytics purposes.
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We are looking for someone who:
Enjoys working with data &amp; analytics engineering, modern data practices, and creating insights that drive decisions. We believe you are a detail-oriented and proactive person who thrives in a collaborative environment and enjoy learning new technologies. You approach challenges with a “can-do” attitude and excel in analytical thinking and problem-solving. For this role you’ll need:
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Work experience in a similar role within data engineering or analytics engineering
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An academic degree related to analytics engineering, data engineering, or similar fields.
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Proficiency in ETL processes, designing analytics-ready datasets, and ensuring clean and usable data for stakeholders.
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Proficiency in Databricks, dbt (SQL), python and related reporting tools and languages.
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Experience with Power BI or similar BI tools.
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Strong English skills, with a good understanding of Swedish and/or Norwegian.
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It’s a plus if you have:
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Experience with Microsoft’s data stack (Azure, SQL, and other cloud services).
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A background in data roles within the financial sector.
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Knowledge of Agile and Scrum methodologies.
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Our offer to you:
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Freedom with Responsibility: Flexible working arrangements to suit your work style.
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Career Development: Opportunities to grow and develop in your role.
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Feedback Culture: A supportive environment that encourages open communication.
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Coaching Leadership: Managers who guide and support your career journey.
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A Caring Company Culture: We genuinely care about each other!
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In addition to this, it is important to us that you recognize yourself in our values: we are wholehearted, we collaborate and we take the lead.
Have you heard of NOBAVERSE? 
In our NOBAVERSE, we value openness, trust, and diversity. Here, you can influence your own development and have fun along the way to achieving our goals -- all in a workplace that’s a little extra bubbly! ✨
Read more about our employee value proposition on our careers page.
Read more about how our recruitment process works in the FAQ.
We care for your privacy and, with reference to the GDPR, would like to ask you not to include any sensitive personal data in your application, for examples information about ethnic origin, political opinions, religious beliefs or information about your health.
Read more about how we handle your personal data here.
If you have any questions or concerns about the position, please contact the responsible recruiter.
We look forward to receiving your application! 🙏✨

Become part of a growing company where you'll tackle data challenges alongside a dedicated and experienced team!