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Data Warehouse Specialist

2 months ago

Stockholm, Stockholm, Sweden Nordea Full time

About Nordea

Nordea is a leading Nordic universal bank with a rich history of helping customers realize their dreams and aspirations. We strive to make a real difference for our customers and the communities where we operate by being a strong and personal financial partner.

Our Common Data Warehouse

The Common Data Warehouse is the main data repository for banking booking products in Nordea. Our team supports and delivers business development activities and data analysis to all business areas of the Nordea group. The data stored in CDW is used for management, regulatory, and supervisory purposes, making it one of the main tools of Nordea to support day-to-day operations.

Key Responsibilities

  1. Work as business solution architects by providing solutions and identifying areas of improvements.
  2. Ensure alignment to business and IT architecture and assess business value for our stakeholders.
  3. Provide end-user support to business areas across Nordea, who need data or remediate data quality issues.
  4. Proactively seek to improve data quality in the Common Data Warehouse.
  5. Drive and proactively work on making the Common Data Warehouse even better.
  6. Ensure efficient operation of the Common Data Warehouse and minimize Total Cost of Ownership.
  7. Improve development processes around Common Data Warehouse development.
  8. Conduct strategic integrations to secure proper integration of the Common Data Warehouse in Nordea's Data Reference Architecture.
  9. Produce and conduct basic training in the Common Data Warehouse including SQL and Snowflake.
  10. Provide CDW Wiki, Viva Engage, and Virtual meetings to inform and support Common Data Warehouse business users and stakeholders.

Requirements

  1. University degree in Economics/IT/Math or other relevant area.
  2. Experience from the financial sector is a plus.
  3. Ability to understand business requirements and turn those into functional specifications and designs.
  4. Excellent communication skills – including fluency in English.
  5. Process-oriented.
  6. Result-oriented and eager to learn.
  7. Structured task management skills.
  8. Ability to liaise between business and IT.
  9. Excellent analytical abilities and high attention to detail.
  10. Enjoy problem-solving and knowledge sharing with colleagues.

What We Offer

We are committed to creating an inclusive workplace where diverse backgrounds, experiences, and characteristics are valued. If you are passionate about data and business, and enjoy working in a collaborative environment, we encourage you to apply.