Manager, Performance & Advanced Analytics, eCommerce job opportunity at Adidas.

Bachelor's (B.Sc.)

South Korea

PURPOSE & OVERALL RELEVANCE FOR THE ORGANIZATION As the eCommerce Performance & Advanced Analytics Manager, you are responsible for delivering end-to-end analytical services and insights that drive performance across the full digital commerce landscape. This includes owning performance reporting, demand forecasting, and advanced analytics that uncover business opportunities and drive fact-based decision making. You will work across all eCom channels (own site, app, partner platforms), partnering with business stakeholders to translate data into actionable strategies. You will also lead the development of machine learning models and advanced analyticspipelines that support scalable analytics and automation. KEY RESPONSIBILITIES eCommerce Performance & Forecasting Analytics Lead the full-cycle eCommerce performance reporting across multiple levels (article, category, channel), combining backend data pipelines with frontend dashboards. Develop structured analytics frameworks to measure and explain business performance, answer key questions, and guide decision-making. Translate analytical models into business-friendly tools and interfaces (e.g., PowerBI, self-servicenotebooks, AI agents, etc). Build, maintain and improve various business performance tracking and analytics dashboards, both frontend and backend Partner with eCom businessteams to identify performance drivers and develop strategic actions based on insights. Advanced Analytics & Forecasting Build and continuously enhance demand forecasting solutions at product, category, and channel level—integrating historical trends, business input, and statistical modeling. Design and implement advanced analytics use cases (e.g.markdown optimization, product similarity) to optimize business outcomes. Explore machine learning and AIapplications to enable proactive performance management and self-service analytics tools. Data Engineering & Solution Management Collaborate with local/global dataand analytics teams to align on data models, pipelines, and tooling for scalable analytics delivery. Oversee the work of data engineering vendors to ensure reliable, efficient data preparation pipelines. Own the delivery of analytics-ready eComperformance related data (sellout, inventory, etc.).