Senior Manager, Revenue Growth Management (On-site)

Copenhagen, Capital Region
Posted 1 week, 2 days ago
Data Science

About the role

Job summary

This role involves leading a team to enhance analytics capabilities within Revenue Growth Management (RGM) and translating insights into commercial impact in a retail environment.

Qualifications

  • 6–8 years of experience in RGM, pricing, strategy, finance, or management consulting.
  • Proven experience in leading, coaching, or mentoring team members.
  • Strong analytical skills, including advanced Excel modeling and familiarity with data visualization tools (e.g., Power BI).
  • Experience with large datasets and ETL tools (e.g., Alteryx or similar).
  • Ability to lead projects and drive outcomes in complex environments.
  • Strong commercial mindset with interest in retail or consumer goods.
  • Excellent communication and presentation skills in English.

Responsibilities

  • Lead and develop a high-performing team of analysts to link analytics to commercial impact.
  • Act as a trusted advisor to senior leadership, influencing commercial decisions through insights.
  • Manage end-to-end RGM initiatives, from problem definition to implementation.
  • Identify and communicate commercial insights and recommendations.
  • Shape RGM capabilities with data-driven recommendations for strategic and tactical decisions.
  • Enhance competitor intelligence and automate insight generation.
  • Drive consistency and best practices in RGM processes across markets.
  • Collaborate with Pricing and Promotions teams to enhance RGM performance.
  • Translate complex datasets into actionable recommendations.
  • Support the implementation of RGM processes, tools, and systems.
  • Work with Data & Analytics teams to improve data quality and infrastructure.

Skills

  • Strong analytical toolkit and experience with data visualization tools.
  • Proven ability to engage and influence senior stakeholders.

Education

  • Relevant degree in a related field is preferred, though not explicitly stated.

Tools

  • Advanced Excel, Power BI, ETL tools (e.g., Alteryx).
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