Analyst, Competitor Intelligence (Remote, Denmark)

Copenhagen, Capital Region
Posted 3 days, 16 hours ago
Data Science

About the role

Job summary

The role focuses on supporting Revenue Growth Management by generating actionable insights on pricing, promotions, and competitive positioning to facilitate data-driven commercial decisions. The Analyst will leverage internal data pipelines and web-scraped competitor data to provide structured insights primarily in the jewelry sector, with potential expansion to other markets.

Qualifications

  • 2-4 years of experience in pricing, promotions, revenue growth management, or commercial analytics in a data-driven environment.
  • Strong analytical and problem-solving skills with the ability to translate complex data into clear insights.
  • Commercial curiosity and strategic thinking regarding consumer behavior and pricing dynamics.
  • Ability to work independently and manage analytical problems in a fast-paced environment.

Responsibilities

  • Develop and maintain end-to-end competitor intelligence capabilities, including collaboration with third-party providers and ensuring data quality.
  • Design and implement analytical tools and dashboards (e.g., Power BI) for scalable access to competitor insights.
  • Lead analytical workstreams focused on competitor intelligence and market monitoring.
  • Apply data science methods to extract insights from various data sources.
  • Prepare and present findings to senior stakeholders, ensuring clarity and alignment with strategic priorities.
  • Collaborate with Pricing, Promotions, and regional teams to integrate insights into decision-making.

Skills

  • Advanced proficiency in Power BI, Excel, and PowerPoint.
  • Experience with large datasets and data querying tools, preferably SQL.
  • Familiarity with data preparation tools like Alteryx and programming tools such as Python or R is advantageous.
  • Strong communication skills for presenting complex analyses clearly.

Education

  • Relevant degree in a quantitative field or equivalent experience.

Tools

  • Power BI, Excel, Alteryx, SQL, Python, R.
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