Digital Analytics Manager
4 weken geleden
Job Summary:
We are seeking a highly skilled Digital Analytics Manager to join our team at adidas. As a key member of our analytics team, you will be responsible for delivering cutting-edge analytics services to stakeholders, enabling them to make fact-based decisions.
Key Responsibilities:
Analytics:
- Contribute to the delivery of analytics services by collecting, tracking, mining, and analyzing data and generating fact-based insights.
- Support Digital or BU teams to increase reach, engagement, buy, and advocacy and inform Digital strategy.
- Carry out assigned tasks for projects in areas such as analytics implementation, database integration, marketing attribution, tag management, qualitative data, etc.
Consulting:
- Support defined groups of 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 in your scope of responsibility to facilitate actionability of insights.
- Help establish a fact-based culture in the organization by continuously improving data-driven decision processes.
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.
Requirements:
- University degree in mathematics, economics, statistics, or a similar quantitative field.
- Experience in e-commerce environments.
- Finding, cleaning, and transforming (large) data sets to generate insights and build reports/dashboards.
- Handling web/app data through tools such as Adobe Analytics, Amplitude, Google Analytics.
- Experience with SQL (e.g., aggregate functions, joins) or other data querying languages.
- Creating data visualization using tools such as Tableau, MicroStrategy, Power BI, or similar.
- Fluent in English, both verbally and written.
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