Analytics Engineer (Copenhagen)

Copenhagen, Capital Region
Posted 1 week ago
Data Science

About the role

Job summary

This role involves developing analytical solutions to support business decision-making within a global finance function. You will be part of the Reporting & Analytics team, focusing on building scalable data models and dashboards using modern cloud platforms.

Qualifications

  • Bachelor’s degree in Computer Science or a related field, preferably with a focus on data analytics or data modeling.
  • 3–5+ years of experience in designing and building analytical solutions.
  • Strong interest in business processes and ability to translate business requirements into analytics solutions.
  • Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, or Microsoft Fabric.
  • Proficiency in SQL and expertise in data modeling.
  • Experience with data visualization tools, especially Power BI.
  • Exposure to predictive modeling is a plus.

Responsibilities

  • Design and develop analytical solutions, including dashboards and data models.
  • Collaborate with Product Owners and Business Analysts to align analytics solutions with business needs.
  • Contribute to the design and implementation of analytics data architecture.
  • Maintain and optimize existing data models and analytics solutions.
  • Support the rollout of analytics solutions through validation, testing, and training.
  • Drive performance optimization of analytics products.

Skills

  • Logical problem-solving and effective data interpretation.
  • Proactive in identifying challenges and delivering data-driven solutions.
  • Eagerness to learn and adapt to new tools and technologies.
  • High accuracy in data handling and solution development.
  • Strong communication skills for explaining complex concepts to various stakeholders.

Education

  • Bachelor’s degree in Computer Science or a related field.

Tools

  • Cloud-based data platforms (e.g., Snowflake, Databricks, Microsoft Fabric).
  • Data visualization tools (e.g., Power BI).
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