AI Data Analyst (all genders)

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 an AI Data Analyst, you will take your analytical expertise to the next level, leveraging cutting-edge tech tools to define and track KPIs, explore data sources, analyse complex datasets, and solve critical business problems. You will be part of the world-class Analytics@Zalando community that offers various opportunities to network and share knowledge and best practices.

This is where analytical expertise meets excellence to empower our stakeholders to make timely quality business decisions!

• Forge trusted partnerships where stakeholders seek your strategic insights, not just your SQL skills. Immerse yourself in your business partners' world to understand their pain points and effectively translate their business questions into analytical problems. By proactively identifying opportunities where data can unlock value and delivering insights that shape decisions, you'll earn a seat at the table where your recommendations directly influence Zalando’s strategy.

• Build the foundations for trusted self-service analytics at scale by designing, developing, and maintaining data transformation pipelines and AI models throughout their lifecycle that business stakeholders can confidently adopt, earning trust through data quality and empowerment, enabling stakeholders to independently answer their frequently asked business questions while you tackle more complex analyses and strategic challenges.

• Design and develop game-changing AI-powered applications to streamline and automate processes and workflows to enable Zalando’s business growth, improve customer and supplier experience, drive operational efficiency, and maximise profitability.

• Actively participate in architecture discussions with engineering teams and senior colleagues in analytics and tech, evaluate trade-offs, and make sound recommendations.

• You hold a Master’s in Economics, Statistics, Computer Science, Data Science, or a similar field and gained 5+ years of professional experience in data analytics or data science.

• You have proven experience designing, building, and maintaining scalable data pipelines using SQL and Python on cloud data warehouses and lakehouses (ideally, AWS Redshift and Databricks), with strong knowledge of orchestration tools (dbt and Apache Airflow).

• You are proficient in data visualisation best practices and tools (Tableau, Looker, or MicroStrategy) and have exceptional data storytelling abilities to effectively communicate complex technical concepts and actionable insights to diverse audiences.

• You have hands-on experience with statistical analysis and machine learning techniques (regression, classification, clustering), practical GenAI applications, and successfully deployed solutions in production environments.

• You uphold rigorous software engineering standards in version control (Git/GitHub), CI/CD pipelines (Jenkins/GitHub Actions), and code documentation best practices.

• You exhibit intellectual curiosity and critical thinking to amplify your business impact through strategic integration of AI in your analytics workflows and rigorous evaluation of its output. 

• You show demonstrated ability to develop profound business understanding, proactively identify opportunities, effectively manage priorities and stakeholders’ expectations, translate business questions into concrete analytical problems, bring industry trends and best practices to the conversation, and make sound data-backed recommendations.

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program

• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners

• 2 paid volunteering days a year

• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration

• Work from abroad for up to 30 working days a year

• 27 days of vacation a year to start

• Relocation assistance available (subject to prior agreement)

• Family services, including counseling and support

• Health and wellbeing options (including Gympass)

• Mental health support and coaching available

• Drive your development through our training platform and biannual peer-to-peer review

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us