About the role
The adidas Japan Data & Analytics (DNA) team is looking for a Manager Data and Analytics to lead the design and delivery of scalable analytics solutions, such as demand forecasting and margin analysis, across areas including Supply Chain and Wholesale.
You will understand Japan’s business needs, processes, and ways of working, integrating them with the latest technologies to deliver analytics, data solutions, and process designs. You will collaborate independently with multiple stakeholders to deliver advanced analytics services and enable data-driven decisions.
About the team
You will join the adidas Japan DNA team, which includes Data Analysts, Data Engineers, and Data Scientists. You will lead projects across eCommerce, Retail, and Wholesale, managing stakeholder communication and collaborating with engineers and scientists to ensure seamless integration of data components.
Current projects focus on business monitoring, demand forecasting, inventory management, and buying volume optimization. The team emphasizes continuous learning and developing business and technical expertise.
Key responsibilities
- Design and develop scalable business intelligence and automated reporting solutions.
- Work with business partners to translate requirements into technical solutions.
- Develop and maintain automated data pipelines and core BI infrastructure.
- Support data accessibility, management, quality, and availability strategies in line with local and global compliance.
- Present analysis results to colleagues at all levels and help them apply insights.
- Identify opportunities for data process enhancements and automation.
Requirements
- University degree in Business, Information Technology, or an equivalent field.
- Over five years of experience in data management and analytics.
- Fluency in spoken and written English; Japanese proficiency is preferable.
- Experience working in diverse and global teams is preferable.
- Experience with data modeling, warehousing, and ETL pipelines.
- Expertise using SQL to extract data from databases or data warehouses.
- Proficiency in a scripting language such as Python or R for data processing and modeling.
- Experience with data visualization tools such as Power BI or Tableau; Power BI knowledge is preferred.
- Knowledge of statistical methods and analytical techniques including regression, predictive modeling, and segmentation or cluster analysis.
- Strong project management, communication, business acumen, critical-thinking, and problem-solving skills.
- Experience with agile frameworks such as Scrum or Kanban.
Culture
adidas promotes a winning culture built on courage, ownership, innovation, teamplay, integrity, and respect. The company is committed to diversity, equity, and inclusion and to fostering a culture where employees feel a sense of belonging.