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Senior Data Strategist

2 weeks ago

Copenhagen, Copenhagen, Denmark H. Lundbeck AS Full time

About the Role

At H. Lundbeck A/S, we are seeking a Senior Power BI Architect to lead our data and analytics transformation using leading cloud technologies. As a key member of our Business Intelligence team, you will drive the implementation and development of Power BI within our Data and Analytics department in Global IT.

We are embarking on a new journey with Power BI and need someone to take ownership of this initiative. As Senior Power BI Architect, you will enable sustainable, data-driven insights that significantly improve decision-making and promote innovation.

Key Responsibilities:

  • Establish best practices in governance, documentation, monitoring, scaling of resources and licenses, and life-cycle management.
  • Contribute to an integrated data architecture within the Data & Analytics department, leveraging platforms such as Snowflake and OneLake.
  • Oversee automated monitoring of daily production, resource consumption, platform usage, and compliance.
  • Coordinate between the BI platform, business units, and IT infrastructure for production and development.
  • Train users and developers on the platform, enabling them to utilize features and new releases effectively.
  • Provide system support for platform issues and business support for change requests.
  • Build and optimize data models in Power BI and our data platform, Snowflake.

Your Future Team
The Business Intelligence team is part of our new Data and Analytics department in Global IT, which currently consists of approximately 25 data, software, and AI engineers. We are on a mission to provide innovative solutions to patients living with brain disorders, focusing on unlocking their data's value and creating data-driven insights.

What You Bring

  • Demonstrated experience overseeing Microsoft Power BI environments and delivering effective implementations.
  • Strong understanding of governance frameworks and the ability to establish Microsoft and industry best practices.
  • Expertise in documentation standards, monitoring systems performance, scaling resources appropriately, managing licenses efficiently, and overseeing the entire life-cycle of data analytics solutions.
  • Advanced problem-solving skills with an analytical mindset.
  • Familiarity with data visualization tools like Power BI and Qlik Sense Cloud.
  • Proficiency in data modeling within Power BI and SQL.
  • Hands-on experience with Python, R, and SQL and theoretical knowledge of Kimball dimensional modeling or other data modeling techniques in the context of BI.
  • Understanding principles for designing and implementing cloud applications, specifically within Microsoft Azure.
  • Experience with DevOps Pipeline.
  • Excellent in business-focused communication.