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Data Architect
1 day ago
We are Nordea, a bank with a 200-year history of supporting and growing the Nordic economies. Our values are deeply rooted in open, progressive, and collaborative societies.
Our team builds relationships and adds a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting potential candidates.
We learn and develop by taking pride in being experts and thinking ahead. We use our expertise to meet our customers' needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on the broader perspective in our daily challenges.
We lead change by being responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy.
About our team
The Common Data Warehouse Requirements and Analysis team is responsible for building the bank's Common Data Warehousing solution using state-of-the-art cloud solutions. We add value by providing expert analysts and data modeling capabilities and expertise in the data warehousing and data integration areas for many solutions in the bank based on cloud-based technologies like Snowflake, and many other modern technologies.
We specialize in data analysis, data modeling, and data architecture. As IT Analyst, you will play a crucial role in project development lifecycle.
Our technology stack includes, but is not limited to: Snowflake, DataStage, ETL Architecture, Cloud-based databases, Data Mesh, Data Vault.
We are looking for an IT Analyst (Data Modeler) to perform data analysis and data model transformation tasks. You will be working as an interface between business and IT to help translate the business requirements into IT mappings, as well as help understand data patterns and design innovative solutions.
Key Responsibilities:
- Perform complex data analysis to help IT clarify requirements towards business and test use cases
- Map source data to target data models in the most optimal way (financial services logical data model)
- Act as technical SME and help IT development teams in understanding the requirements
This is an exciting opportunity for a passionate data analyst and problem solver who excels in interpersonal communications and is proficient in English language.
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