THE ROLE & THE TEAM
As a Senior Analyst in Zalando Stores, you will be the driving force in taking our data landscape and governance to the next level for our Outlets and Overstock business. Working closely with our business stakeholders in a fast-paced, agile manner, you will not only model and publish key data that enables business-critical steering but also act as a sparring partner in improving the quality and usability of our reports.
Through your past experience in the field, you will devise and implement a data governance model and its processes, focused on availability, reliability, and maintainability. Our business is in growth, and you will ensure that our BI architecture is highly performant, cost-effective, and ready for the business needs of the coming years, directly empowering our teams to steer the business with data.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.
We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.
We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.
Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Drive Business Steering: Lead data discovery, define KPIs, and manage data loading into Tableau. You will translate complex business needs into concrete data models that effectively steer our Outlets and Overstock business.
Architect for Performance: Deeply integrate with our AWS ecosystem to structure data specifically for BI performance, optimizing queries for both speed and compute cost-efficiency.
Collaborate & Deploy Agilely: Work continuously with the central Data Team to access new datasets. You will utilize version control (Git) to maintain seamless CI/CD workflows and ensure a consistent logical structure tailored to our fast-evolving needs.
Champion Data Governance: Implement and continuously refine our data governance model and quality standards. You will guarantee easy access to reliable data by defining clear data points, user groups, and preservation processes.
Act as a Strategic Sparring Partner: Advise our Controllers and business users by supporting them with ad-hoc analysis and helping them build data products that create immediate value and enable agile decision-making.
WE’D LOVE TO MEET YOU IF
You bring domain & agile expertise: You have proven experience designing or reshaping data models for a large business unit (retail, outlets, or overstock experience is a strong plus) and can autonomously drive projects across multiple stakeholders in an agile environment.
You are an advanced SQL & data modeler: You possess expert-level SQL skills with a proven track record of optimizing complex queries for both performance and cost, alongside a deep understanding of data modeling structured specifically for BI.
You know core BI infrastructure: You have significant hands-on experience with the AWS Ecosystem (specifically Redshift, S3, and IAM roles), Git for CI/CD workflows, and extensive expertise in Tableau (managing data sources, fields, and building dashboards).
You have an analytical mindset: You leverage strong statistical literacy and a highly data-driven approach to solve problems and communicate effectively with stakeholders.
Proficiency in Python (Spark/PySpark) and orchestration tools like Airflowas well as a solid understanding of Databricks, Lakehouse architecture, underlying storage formats (row vs. columnar), and the trade-offs between real-time streaming (Kafka) and batch processing pipelines is a plus.
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.
27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
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
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
