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Digital Analytics Assistant Manager

1 maand geleden

Amsterdam, Noord-Holland, Nederland Adidas Voltijd
Job Title: Assistant Manager Digital Analytics

As a key member of the adidas team, you will play a crucial role in delivering cutting-edge analytics services to stakeholders, enabling them to make informed decisions. Your expertise will help adidas better understand its consumers, expand its reach, increase customer engagement, and drive sales.

Key Responsibilities:
  • Contribute to the delivery of analytics services by collecting, tracking, mining, and analyzing data to generate actionable insights.
  • Support Digital and Business Unit teams to increase reach, engagement, and advocacy, and inform the adidas digital strategy.
  • Carry out assigned tasks for projects in areas such as analytics implementation, database integration, marketing attribution, tag management, and qualitative data analysis.
Consulting:
  • Support stakeholders in setting up performance measurements using digital analytics and enabling them to derive trends and opportunities.
  • Contribute to the translation of gathered insights into engaging, actionable, and easy-to-digest insights presentations, including visualization.
  • Build trust with stakeholders to facilitate actionability of insights and help establish a fact-based culture in the organization.
Reporting:
  • Continuously measure metrics for stakeholders within the assigned scope.
  • Support implementation and drive optimization of reporting structures within your area of responsibility.
  • Contribute to the development of best practice guidance for markets and other adidas stakeholders to maximize the use of analytics capabilities.
Innovation:
  • Stay up-to-date with the latest trends and technological advances by informing yourself proactively using various sources.
Requirements:
  • University degree in mathematics, economics, statistics, or a similar quantitative field.
  • Experience in an eCommerce environment.
  • Familiarity with data querying languages, such as SQL, and data visualization tools, such as Tableau or Power BI.
  • Fluency in English, both verbally and written.