Adidas MANAGER CONSUMER ENGAGEMENT & MEMBERSHIP ANALYTICS ECOMMERCE 

Netherlands, North Holland, Amsterdam 

72467117

:

• Lead and manage Korea e-commerce consumer engagement (CE) and membership analytics, tracking macro and micro KPIs for websites, apps, and eMarketplaces.
• Implement dashboards, reporting frameworks, and analytics tools to enable data-driven decisions and optimize performance.
• Develop advanced analytics tools and insights to improve traffic, engagement, conversion, and membership KPIs across all digital platforms and offline channels.
• Drive CRM and CE performance measurement by aligning with global reporting frameworks to evaluate awareness, engagement, and purchasing behavior.
• Collaborate with UX, CE, Membership, and Activation teams to enhance the shopping experience, personalization, consumer segmentation, targeting, and traffic generation.
• Support Buying, BU, and Brand teams with ad hoc data analysis and the development of analytics tools to provide deeper consumer understanding and actionable insights.
• Support membership activities with data, insights, tools, and frameworks to track and improve member awareness, acquisition, and engagement.
• Partner with other analytics teams to monitor KPIs, identify trends, and uncover growth opportunities through CRM and CE optimization.
• Continuously evolve analytics capabilities by adopting new tools, practices, and solutions within the digital analytics ecosystem.
• Drive stakeholder alignment by delivering actionable insights, fostering data-driven decision-making, and promoting the adoption of analytics tools and frameworks.
• Build a strong internal and external network to stay updated on analytics trends and innovations.

• Maintain quality, set good development practices, and define standards that keep the focus on the right things.

Key Relationships:

• KOREA e-com team
• KOREA Membership team
• KOREA Function teams (Finance, DNA, Brand, Sales, Membership, SCM…)
• Global Digital teams
• Global BI & Analytics teams
• External vendors

Requisite Education and Experience / Minimum Qualifications:

• Degree with focus in Statistics, Economics, Math, Data Science, Business or related field preferred, or equivalent combination of education and experience
• 4+ years of experience working in Digital Analytics, Data Analytics, Business Intelligence, Demand forecasting & planning, Data Science or equivalent experience
• Experience in e-commerce environment
• Experience with CRM or Customer Engagement in a brand environment
• Familiarity with e-commerce content, search engine optimization/marketing, user experience, analytics, core e-Commerce capabilities, CRM process/program, and overlaps/opportunities in relation to behavioral web data
• Experience in or familiarity with analytics platforms, especially in their integration or deriving insights requiring multiple sources
• Industry: Ideally sportswear/fashion/FMCG or internet

:

• Strong understanding and proven experience in digital and e-commerce analytics, with deep knowledge of multi-platform e-commerce ecosystems, KPIs, and performance optimization.
• Solid business acumen, with the ability to connect business goals, consumer behavior insights, and actionable strategies across digital and offline channels.
• Demonstrated ability to work effectively in cross-functional organizations, building influential and collaborative relationships with stakeholders from diverse disciplines.
• Excellent communication and negotiation skills, with the ability to present complex topics clearly and effectively to both technical and non-technical audiences, in person and remotely.
• Passion for designing and building new data capabilities, tools, and frameworks, with a keen interest in “behind-the-scenes” development of analytics solutions.
• Skilled in crafting and implementing analytics frameworks that align with business needs and deliver measurable outcomes, with a focus on user-centric design and accuracy.
• Creative and results-driven problem-solver, dedicated to driving quantifiable improvements in business performance and consumer satisfaction.
• Familiarity with and enthusiasm for the sportswear and fashion industries, with the ability to leverage analytics to support these domains effectively.

:

• Advanced experience in data analytics,master of analytics tools including SQL, Python, PowerBI (or other visualization tools) as well as statistical models and/or machine learning models
• Hands-on experience with big data platforms such as databricks, AWS or Azure and coding tools such as Jupyter Notebook, Git, etc.
• Familiar with digital KPIs (traffic, CR, AOV), membership KPIs (e.g. engagement, CLTV) and consumer analytics tools and algorithms
• Experience in relevant digital disciplines and their core KPIs (e-com, social media, loyalty programs, CRM, SEO/SEM, consumer experience)
• Fluent English both verbally and written
• Plus would be considered:
  • Experience in forecasting and predictive models
  • Experience in building data science or machine learning models, esp. experience in personalization and consumer segmentation solutions.
  • Experience in data engineering, esp. data modeling and pipeline building
  • Advanced experience with other digital analytics tools such as adobe analytics, google analytics, etc.
  • Experience with Voice of the Customer tool such as Martitz CX, Medallia, Qualtrics, etc.
  • Customer Experience Measurement (Tealeaf CEM, Clicktale, QM, Crazyegg)
  • Experience with AB and Multi-variate testing tools preferred (e.g. Optimizely, VWO, Test & Target)
  • Project management skills, including the ability to lead projects or work on several projects simultaneously.