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Financial Analytics Specialist

2 weeks ago

Copenhagen, Copenhagen, Denmark LEGO Gruppe Full time

We are seeking a highly skilled Business Intelligence Developer to join our team at the LEGO Group. As a key member of the Corporate Finance, Systems, Analytics, and Insights team, you will be responsible for developing and maintaining our business intelligence solutions to drive data-driven decision-making.

The ideal candidate will have experience with building and maintaining reliable data infrastructure using languages like SQL and Python for data processing and analytics. They should also be able to translate data into actionable insights using tools like Power BI. In addition, they should have experience with automation and data governance, including data quality, compliance, and adherence to standards.

Responsibilities:

  • Develop and maintain business intelligence solutions to support data-driven decision-making.
  • Collaborate with finance teams to develop automated, standardized data pipelines to maintain high reliability and quality.
  • Equip CFO organization functions with the right data, tools, and insights to enable them to focus on strategic priorities.
  • Strengthen critical finance processes by implementing accurate, automated business models, supporting financial reporting and planning, and ensuring compliance in external reporting.
  • Build a robust data infrastructure that supports Generative AI and Machine Learning capabilities.

We offer a competitive salary and benefits package, as well as opportunities for career growth and development. If you are a motivated and detail-oriented professional with a passion for data-driven decision-making, we encourage you to apply for this exciting opportunity.

Requirements
  • Data Engineering: Experience with building and maintaining reliable data infrastructure using languages like SQL and Python for data processing and analytics.
  • Data Analysis and Visualization: Ability to translate data into actionable insights using tools like Power BI.
  • Automation: Experience in automating routine reporting and data processes using tools like Databricks and SAP BW.
  • Data Governance: Understanding of data quality, compliance, and adherence to standards.