Senior BI Analyst: Data Engineering & LEGO Platform

The Great Yellow Brick Company

Denmark

Hybrid

DKK 900,000 - 1,200,000

Full time

8 days ago

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Benefits offered by this job

Family Care Leave
Life/Disability Insurance
Wellbeing resources
Colleague Discount
Bonus scheme

Job summary

The LEGO Group in Billund, Denmark, seeks a Sr BI Analyst (Data Engineering) to build a modern data foundation and enable data-driven decisions across Supply Chain and Sales & Operations Planning.

You will develop data products, pipelines using Databricks and Power Platform, and reporting with Power BI, partnering with stakeholders to translate needs into scalable data solutions. This role supports our hybrid working model with flexible remote options.

Qualifications

  • Databricks data transformation and engineering experience.
  • Data pipeline development using Databricks and/or Power Platform.
  • Strong understanding of business metrics and analytics solutions.
  • Experience developing end-to-end data solutions from source systems to business consumers.
  • Experience with Power BI reporting and dashboard solutions.

Responsibilities

  • Develop and maintain data products, data flows, and reporting solutions for diverse business users.
  • Build scalable data pipelines using Databricks and Power Platform.
  • Help establish a strong data foundation on LEGO Data Platform.
  • Partner with supply chain and operations stakeholders to translate needs into technical solutions.
  • Ensure reliable, accessible, high-quality data across key domains.
  • Develop reporting and analytics solutions leveraging Power BI.

Skills

Databricks
Power Platform
Power BI
Data analytics
Stakeholder collaboration

Tools

Databricks
Power BI
Power Platform

Job description

The LEGO Group in Billund, Denmark, seeks a Sr BI Analyst (Data Engineering) to build a modern data foundation and enable data-driven decisions across Supply Chain and Sales & Operations Planning.

You will develop data products, pipelines using Databricks and Power Platform, and reporting with Power BI, partnering with stakeholders to translate needs into scalable data solutions. This role supports our hybrid working model with flexible remote options.

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