Head of Insights (Marketing Analytics, Copenhagen)

Copenhagen, Capital Region
Posted 6 days, 23 hours ago
Marketing

About the role

Job summary

This role focuses on enhancing data storytelling and thought leadership in B2B marketing analytics. The Head of Insights will work closely with the engineering team to develop a robust data production system and publish insightful charts and reports that establish the company as a leading source of truth in the industry.

Qualifications

  • Strong analytical engineering skills, including proficiency in production SQL.
  • Experience in setting up and managing data infrastructure, including cloud data modeling and dbt projects.
  • Solid understanding of statistics and data science principles.
  • Excellent written and visual communication skills, capable of creating clear and engaging data visualizations.
  • Ability to simplify complex concepts while maintaining analytical rigor.
  • Active engagement with social media and knowledge sharing, particularly on LinkedIn.
  • Familiarity with AI tools to enhance productivity.
  • Strong sense of ownership and independence in managing tasks.
  • Genuine curiosity about B2B marketing trends and developments.

Responsibilities

  • Create and publish well-designed charts regularly to communicate insights.
  • Develop a streamlined production system for data analysis and visualization.
  • Compile and aggregate charts into comprehensive reports and other formats.
  • Build relationships with journalists and analysts to increase data citations.
  • Oversee the overall data storytelling strategy and execution.

Skills

  • Proficiency in SQL and data infrastructure management.
  • Strong statistical analysis and data science knowledge.
  • Exceptional communication and visualization skills.
  • Familiarity with social media engagement and content creation.

Education

  • Relevant experience in data analysis, marketing analytics, or a related field is preferred.

Tools

  • Experience with cloud data warehouses (e.g., BigQuery), data visualization tools (e.g., Tableau, Figma), and AI tools for data analysis.
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