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Data Analyst Expert

1 week ago

Taastrup, Høje-Taastrup Kommune, Denmark Nordea Full time

At Nordea, we are seeking an experienced and skilled professional to join our team as a Lead Data/IT Analyst. This role requires expertise in data modelling principles, data architectures, and integration patterns.

The ideal candidate will have a deep understanding of requirement elicitation and analysis, as well as experience with SQL (Oracle, MSSQL or similar RDBMS) and cloud platforms (AWS/Azure/Google).

We are looking for someone who is passionate about working with complex and distributed datasets, performing statistical analysis, and contributing to the design and maintenance of near real-time data pipelines.

Your Responsibilities:

  • Consolidate and harmonize Payments Data for distribution to other solutions.
  • Develop integrations supporting End2End payment flows in Nordea's target payment architecture.
  • Contribute to solution architecture, design, and maintainability of applications.
  • Design, build, and maintain near real-time data pipelines.
  • Interact with product owners and stakeholders to clarify, elicit, and translate requirements into implementation specifications.
  • Data mapping, data modelling, solution design, and collaboration with Information architects.
  • Perform quantitative data analysis to understand identified issues and recommend solutions.
  • Collaborate with developers and engineers to properly document designs and solutions.
  • Elicit requirements by cooperating with different stakeholders in a complex environment.
  • Responsible for requirements documentation (inc. use cases) and quality improvement.

Requirements:

  • Expertise in data modelling principles, data architectures, and integration patterns.
  • Experience in requirement elicitation and analysis.
  • Hands-on knowledge of SQL (Oracle, MSSQL or similar RDBMS), cloud platforms (AWS/Azure/Google), and Domain driven design, Event sourcing architecture patterns, microservices architecture, and clean code.
  • Degree in computer science and engineering, mathematical modelling, or similar.
  • Excellent written and spoken English communication skills.