Adidas ASSISTANT MANAGER DIGITAL ANALYTICS 

China, Shanghai, Yangpu District 

680005302

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.
• Contribute to specific analytics services to stakeholders within Digital, e.g. agile cells, or outside Digital, e.g. Business Units or Newsrooms, using a single data source.
• Carry out assigned tasks for projects in areas such as analytics implementation, database integration, marketing attribution, tag management, qualitative data, etc.

Consulting:

• Support defined group of stakeholders in setting up performance measurements using digital analytics, and enabling them to derive trends and opportunities
• Contribute to the translation 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.

Innovation:

• Keep up with the latest trends and technological advances by informing yourself proactively using various sources.

Key Relationships:

• Data Science Team
• BUs and Markets
• Digital Strategy, Ecosystem and Experience Design Teams
• Digital Product Teams

Requirements,Education & Professional Experience:

• University degree in mathematics, economics, statistics, or a similar quantitative field
• Experience in eCommerce environment
• 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.