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Senior Analytics Engineer (Remote, USA/Denmark)

Billund, Southern Denmark
Posted 1 week, 3 days ago
Data Science

About the role

Job summary

This role involves joining a dynamic data and analytics team focused on enhancing analytics maturity and delivering commercial value through data insights. The position is pivotal in building an AI-enabled data foundation for the organization.

Qualifications

  • Experience as an Analytics Engineer, Data Solutions, Data Engineering, or Data Specialist.
  • Proficient in SQL and/or Python with experience in handling large structured and unstructured datasets.
  • Familiarity with CI/CD pipelines, Git, and data transformation best practices.
  • Ability to communicate technical concepts to non-technical stakeholders, including senior leadership.
  • Strong attention to detail, adaptability, and results-oriented mindset.
  • Collaborative team player with a positive attitude and a willingness to challenge constructively.
  • Bachelor's degree or equivalent experience in Mathematics, Sciences, BI, Analytics, or related fields.
  • Fluent in English, both written and verbal.
  • Willingness to travel up to 10 days a year.

Responsibilities

  • Develop data pipelines and monitoring systems to deliver high-quality data products focused on retail execution.
  • Ensure data products comply with CI/CD standards and data quality frameworks.
  • Maintain semantic layer infrastructure and drive governance for improved data accessibility.
  • Collaborate with various teams to convert business requirements into actionable data products.
  • Promote data literacy through training and documentation.
  • Partner with product teams to innovate features across the data platform.
  • Advocate for best practices in data product development to ensure data integrity and scalability.

Skills

  • Strong analytical and problem-solving skills.
  • Excellent collaboration and communication abilities.
  • Familiarity with AGILE methodologies is a plus.

Education

  • Bachelor's degree or equivalent experience in a relevant field.

Tools

  • Experience with Databricks and coding assistants is advantageous.
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