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MastercardPosted 2 weeks ago
EXPIRED

Senior Analyst, Analytics & Metrics

On-siteCopenhagen, Capital Region, Denmark

Full TimeSenior LevelEnterprise

Job Summary

Analyze business performance to identify trends, risks, and opportunities, translating complex data into actionable insights for commercial, product, and leadership teams. Develop scalable analytics solutions by improving datasets, reporting frameworks, and dashboards while ensuring data quality and consistency. Partner with commercial specialists to support pricing decisions, customer engagements, and growth optimization through proactive market intelligence. Contribute to strategic data initiatives that strengthen analytics capabilities across the Nordic organization and promote the effective use of data as a strategic asset.

Required Qualifications

  • strong analytical thinking
  • business curiosity
  • track record of turning data into meaningful outcomes
  • confidence navigating data
  • solving problems
  • influencing decisions
  • ability to communicate effectively with both technical and non-technical audiences
  • comfort collaborating across teams and functions
  • taking ownership
  • proactively identifying opportunities for improvement
  • balancing attention to detail with an understanding of the bigger picture
  • being eager to learn and continuously developing new skills
  • experience in analytics, business intelligence, data management, consulting, finance, commercial analysis, or a related field
  • familiarity with data visualization and reporting tools
  • experience working with structured data and analytical techniques
  • understanding of how data and analytics can support business growth and decision-making
  • ability to abide by Mastercard's security policies and practices
  • ability to ensure confidentiality and integrity of information
  • ability to report any suspected information security violation or breach
  • ability to complete all periodic mandatory security trainings

Desired Qualifications

  • exposure to payments, financial services, or other data-intensive industries

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