THE ROLE & THE TEAM

The Operations & Analytics team partners with stakeholders across Merchandising, Buying, Operations, and Products Quality & Safety to inform timely, quality decisions about Zalando’s business with its suppliers. We enable commercial decisions, process improvements, standardisation, and workflow automation.
Are you excited about challenging the status quo, pushing the boundaries, and leveraging data and AI to shape the future of fashion and lifestyle e-commerce? This is your chance!
As a Junior AI Data Analyst, you will develop your analytical expertise while contributing to building business-critical solutions. You’ll work with cutting-edge tech tools to support KPI tracking, explore data sources, analyse datasets, and help solve business problems. You will be part of the world-class Analytics@Zalando community that offers various opportunities to network, share best practices, and grow.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

This is where analytical expertise meets excellence to empower our stakeholders to make timely quality business decisions!
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Immerse yourself in your business partners’ world to understand their pain points and develop your business acumen. Proactively seek guidance from more senior colleagues to identify opportunities where data can unlock value and deliver insights that shape decisions, earning your stakeholders’ trust through reliable execution and clear communication of your findings.

• Contribute to building our self-service analytics foundations by supporting the development and maintenance of data transformation pipelines and AI models. Learn to build reliable data products that stakeholders can trust, while ensuring data quality through rigorous testing and documentation. Collaborate with senior team members to enable stakeholders to answer their routine questions independently.
• Support in building game-changing AI-powered applications that automate processes and workflows. Assist in implementing AI solutions that improve operational efficiency and partner experience, while learning and