Senior Principal Data Analyst (All Genders)

Zalando; Zurich; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a data analyst with a strong background in AI and machine learning. This role involves leveraging data analysis to drive business insights and enhance user experiences in the fashion e-commerce sector. You will take ownership of machine learning solutions and collaborate with cross-functional teams to deliver transformative results. The company offers a hybrid working model, generous vacation days, and a range of employee benefits, making it a fantastic opportunity for those passionate about technology and innovation in a dynamic environment.

Benefits

Employee shares program

40% off fashion products

2 paid volunteering days

Hybrid working model

Work from abroad for 30 days

27 days of vacation

Relocation assistance

Family services

Health and wellbeing options

Mental health support

Qualifications

• Solid experience in data analysis and AI-driven capabilities.
• Proficient in Python/R and statistical analysis frameworks.

Responsibilities

• Conduct data analysis for fashion e-commerce and identify growth strategies.
• Develop and operate machine learning solutions for risk management.

Skills

Data Analysis

Business Insight

AI and Data Modeling

Machine Learning Solutions

Python

R

Statistical Analysis

Communication Skills

Curiosity

Education

Bachelor's Degree in a relevant field

Tools

PyTorch

Pandas

Data Modeling Tools

Job description

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 Zalando Careers.

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.

Learn more about our diversity & inclusion strategy here.

Our employee resource groups can be found here.