Media Decision Science Manager

Copenhagen, Capital Region
Posted 1 week ago
Data Science

About the role

Job summary

This role focuses on enhancing marketing analytics through data expertise, based in Copenhagen or Billund. The position involves building data foundations, analytical models, and scalable pipelines to support business decisions in a global marketing context. It is an 8–10 month fixed-term contract.

Qualifications

  • Experience in a data-focused role such as Data Expert, Analytics Engineer, or Data Engineer.
  • Proven ability to build and maintain scalable data pipelines and transform complex datasets into analytical products.
  • Advanced programming skills in Python and SQL.
  • Familiarity with modern data platforms like Databricks, Spark, Git, and cloud-based environments.
  • Experience in developing analytical models and automating data workflows.
  • Strong understanding of data modeling, quality, and governance principles.
  • Effective communication skills for collaborating with technical and non-technical stakeholders.
  • A curious mindset with a passion for leveraging data for business impact.
  • Proficiency in English, both written and spoken.

Responsibilities

  • Design and maintain scalable data solutions to support global marketing measurement.
  • Apply statistical methods and analytical techniques to derive insights and enhance marketing performance measurement.
  • Collaborate with engineering teams to ensure high-quality, reliable data for analytics.
  • Translate complex datasets into actionable insights for business stakeholders.
  • Develop reusable analytical frameworks and reporting capabilities to facilitate data-driven decision-making.
  • Work closely with various teams to continuously improve data capabilities and deliver impactful solutions.

Skills

  • Strong analytical and problem-solving skills.
  • Proficiency in Python and SQL.
  • Experience with data platforms and cloud environments.

Education

  • Relevant degree or equivalent experience in data science, analytics, or a related field.

Tools

  • Databricks, Spark, Git, cloud-based data platforms.
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