Director of Insights & Analytics (Remote, Global)

Billund, Southern Denmark
Posted 3 weeks, 1 day ago
Data Science

About the role

Job summary

This role involves leading the transformation of data utilization within a global organization, focusing on developing a comprehensive Insights & Analytics strategy. The position requires guiding a high-performing team to convert complex data into actionable business insights and fostering a data-driven culture across various functions.

Qualifications

  • Extensive experience in analytics, business insights, data science, or strategy consulting, with a strong emphasis on analytics.
  • Proven leadership skills in managing global teams and capabilities in insights, analytics, and reporting.
  • Strong understanding of analytics, AI/ML, and modeling concepts, with the ability to direct and coach experts.
  • Experience in driving organizational change and introducing new working methods.
  • Familiarity with Databricks or cloud Lakehouse environments is advantageous.

Responsibilities

  • Develop and oversee the end-to-end Insights & Analytics strategy, including data platforms and reporting infrastructure.
  • Lead a global team of analytics professionals, fostering a high-performance culture.
  • Act as the primary insight partner to senior leadership, translating business data into strategic narratives.
  • Promote a data-driven culture by integrating insights into decision-making processes across various functions.
  • Define and implement a strategic roadmap for analytics products and decision enablement.
  • Ensure governance and ethical standards in data usage, collaborating with legal and technology teams.

Skills

  • Strong analytical and strategic thinking abilities.
  • Excellent communication skills for translating complex data into clear insights.
  • Ability to prioritize and manage multiple projects effectively.
  • Experience with AI and advanced analytics to drive business outcomes.

Education

  • A degree in a relevant field such as Data Science, Business Analytics, or a related discipline is preferred.

Tools

  • Familiarity with analytics tools and platforms, particularly Databricks or similar cloud environments.
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