Senior Principal Data Analyst (All Genders)

Posted 4 Days Ago
Be an Early Applicant
2 Locations
Senior level
eCommerce • Retail
The Role
The Senior Principal Data Analyst handles data analysis in e-commerce, develops machine learning solutions, and fosters collaboration with teams for insights and problem-solving.
Summary Generated by Built In

Senior Principal Data Analyst (All Genders)

Zalando is driving innovation to become Europe’s leading fashion, beauty, and lifestyle ecosystem. This vision is powered by cutting-edge AI technologies, seamlessly integrated inspiration and entertainment experiences, and data-driven insights. Central to this transformation are initiatives like Zalando Assistant, OpenAI-powered chatbots, and TrendSpotter, which leverage Zalando’s vast data to deliver personalized, dynamic customer experiences.

This role demands a strategic mindset, deep technical understanding of AI-driven capabilities, and exceptional program management skills to align global teams and deliver transformative user experiences.

WHERE YOUR EXPERTISE IS NEEDED

  • Responsible for data analysis work in fashion e-commerce, including business insights, opportunity analysis and business strategies.
    Insight into market changes, analyze user needs, use AI and data modeling tools to discover growth strategies, guide content operations, and enhance user experience.

  • Take end-to-end ownership for developing, deploying, and operating machine learning solutions on our centralized abuse protection platform for detecting and managing transactional risks

  • Raise the analytical and technical bar within the applied science domain by improving processes and documentation

  • Quick prototyping and spiking of analysis models to assess their applicability for solving research, customer, and business problems

  • Rigorous approach in solving, conducting, and documenting analysis projects

  • Work in a cross functional team consisting of software applied scientists, engineers, product managers, and product analysts

  • Contribute to our growing science community and encourage knowledge sharing in an agile work environment

  • Facilitate technical collaboration and alignment with our engineering teams in China, understanding and adapting to the specific technical and market requirements of the Chinese e-commerce environment

WHAT WE’RE LOOKING FOR:

  • Have solid practical experience in data analysis. Be proficient in using various tools for data modeling and have an insight into business opportunities and industry trends.

  • Familiar with large model products such as OpenAI/Deepseek/Qwen, have good experience in developing Prompt instructions, and be efficient in data acquisition, data processing, data modeling and business analysis.

  • Be proficient in Python/R and related statistical analysis frameworks such as PyTorch, Pandas, etc..

  • Experience with data storage, ingestion, and transformation, also including analysis workflow orchestration

  • Passion for developing clean, well maintainable, and testable code

  • Motivation for continued personal development in discovering new technologies and software services

  • Curiosity and eagerness to understand the business context where the team operates and the customer problems being solved

  • Very good communication skills to translate (even complex) analytical / engineering decisions and outcomes to broader, non-technical audience

  • Prior experience operating within or in collaboration with the Chinese market—along with a strong understanding of its distinct business landscape and the ability to tailor technical solutions accordingly—is highly valued.

  • Proficiency in Mandarin Chinese (written and spoken) is preferred, enabling clear communication and seamless collaboration with our teams based in China.

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 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

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

INCLUSIVE BY DESIGN

Zalando’s vision is to be the starting point for fashion – one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We’re only asking about why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please 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/diversity-inclusion

Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups

Top Skills

AI
Data Modeling
Machine Learning
Pandas
Python
PyTorch
R
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The Company
HQ: Berlin
10,000 Employees
On-site Workplace
Year Founded: 2008

What We Do

Welcome to Zalando. Here’s some key info about us:

Our position and vision:
- We’re Europe’s leading online platform for fashion and lifestyle
- Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty
- Our vision is to become The Starting Point For Fashion.

Our offering:
- Our assortment of international brands ranges from world-famous names to local labels
- Our platform is a one-stop fashion destination for inspiration, innovation, and interaction
- As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand.
- Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs.

Our beliefs:
- Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I
- We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.

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