We are seeking a dynamic and skilled Assistant Manager, Digital Analytics to join our team. The ideal candidate will be responsible for automating business processes, building robust analytical solutions, and transitioning manual workflows into scalable, automated ETL solutions. This role requires hands-on expertise in data analytics, ETL development, and BI front-end development to support the business in deriving insights.

You will also be able to sharpen your analytic skills, deepen your knowledge about the various mechanics of a successful e-commerce business and get the opportunity to implement your vision of a consumer first analytical landscape. You will grow professionally and personally. Adidas is offering various internal learning modules to support every employee in their own career path, as well as general trainings for the whole organization on topics like diversity and inclusion.

Key Responsibilities:

• Process Automation: Design and implement automated workflows to streamline data processes.
• ETL Development: Migrate Excel-based solutions into efficient ETL pipelines using Python.
• BI Front-End Development: Develop and maintain interactive dashboards and visualizations using Power BI or similar tools.
• Lakehouse Integration: Work with Lakehouse-based platforms such as Databricks to enable seamless data integration and analysis.
• Collaboration: Partner with cross-functional teams to understand data requirements and deliver actionable insights.
• Data Quality Assurance: Ensure accuracy, reliability, and consistency of data across systems.

Knowledge, Skills and Abilities:

Technical Skills:

• High proficiency in SQL and Python for data manipulation and automation.
• Hands-on experience with ETL processes and workflows.
• Expertise in data visualization tools like Power BI or similar (e.g., Tableau, Looker).
• Familiarity with Databricks or other Lakehouse platforms is a strong plus.

• Strong problem-solving skills and a focus on delivering practical, scalable solutions.
• Proficiency in MS Office suite.

Soft Skills:

• Excellent communication and collaboration abilities.
• Detail-oriented with a commitment to quality and accuracy.
• Fluent in English.

Key Relationships:

• EU e-commerce teams (Buying, Planning and Trading / Digital Visual Merchandising / Growth / Finance / Analytics)
• EU market teams (Business Development, Retail, Wholesale, Key Accounts)
• Global Digital Analytics
• Global and EU Data and Analytics

Requisite Education and Experience / Minimum Qualifications: 

• University degree in the field of Business, Finance, Engineering or equivalent.
• 1-2 years of experience in Analytics (preferably with a focus on ETL, automation and Python).
• Experience in eCommerce/retail environment is a plus.