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.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
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!
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 applying best practices in productionising data and AI applications pipelines.
Actively engage in technical discussions with engineering teams and senior analytics colleagues. Learn to evaluate technical trade-offs, contribute ideas, and develop your ability to make sound technical recommendations under guidance.
WE’D LOVE TO MEET YOU IF
You hold a Master’s in Economics, Statistics, Computer Science, Data Science, or a similar field and gained 2+ years of professional experience in data analytics or data science.
You have hands-on experience designing, building, and maintaining scalable data pipelines using SQL and Python on cloud data warehouses and lakehouses (ideally, AWS Redshift and Databricks). You are eager to learn orchestration tools like dbt and Apache Airflow.
You demonstrate proficiency in at least one data visualisation tool (Tableau, Looker, or MicroStrategy) and show strong potential in using data storytelling to effectively communicate complex technical concepts and actionable insights to non-technical audiences.
You have foundational knowledge of statistical analysis and machine learning techniques (regression, classification, clustering), practical GenAI applications, and deploying solutions in production.
You follow software engineering standards in version control (Git/GitHub), CI/CD pipelines (Jenkins/GitHub Actions), and code documentation best practices.
You demonstrate intellectual curiosity, critical thinking, and a growth mindset. You're excited about leveraging AI in analytics workflows while maintaining analytical rigor in evaluating outputs.
You show strong communication skills, eagerness to develop business understanding, ability to manage your time effectively, and enthusiasm for translating analytical findings into business recommendations. You thrive in collaborative environments and actively seek feedback to accelerate your personal and professional growth.
OUR OFFER
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
