Principal Product Analyst /Applied scientist (all genders) - Lounge by Zalando

THE ROLE & THE TEAM 

Lounge by Zalando is an online shopping club for fashion and lifestyle products across Europe. At the core of our high-growth strategy is pricing and assortment optimization. As a shopping club, Lounge's main premise is to offer exclusive deals with limited availability to fashion conscious customers. 

The Principal Analyst in  CFA(Customer-Facing Application) team plays a strategic and cross-functional role. You will collaborate closely with Product, UX, Engineering,Data Science, and marketing teams and act as a bridge between technical data outputs and business impact — telling the story behind the numbers. You play a strategic and impactful role by translating complex data into actionable insights that directly shape product direction, customer experience, and long-term business outcomes.

ABOUT LOUNGE BY ZALANDO

Lounge by Zalando is an online outlet for fashion and lifestyle products in 21 European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Lounge by Zalando is so much more than discounts. Our strength lies in our focus on fashion and lifestyle brands: from sought-after labels to niche brands, from famous international names to trendy luxury brands, we make sure to meet the fashion taste of all our customers, who are always on the hunt for the best products at the best prices. Working with our brand partners, we're pioneering innovative supply-chain and production processes and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.

https://www.zalando-lounge.de

INCLUSIVE BY DESIGN

At Zalando, our vision is to be the Principal ing pan-European ecosystem for fashion and lifestyle e-commerce - 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 only want to know 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 and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Use statistical modeling and machine learning to uncover patterns in user behavior and drive deeper product understanding.

• Give (analytical) evidence supporting business decisions - investments, roll-out, and/or additional deep-dives.

• Design, execute, and interpret A/B tests at scale; guide product teams on experiment best practices.

• Work with key partners in product, engineering, and data science teams to deliver ongoing improvements to the product by independently  generating  insights, measuring impact and embedding predictive models .

• Develop and evaluate causal inference models to measure impact beyond traditional A/B tests.

• Pilot GenAI tools for automating insight generation, summarizing user feedback, or powering smart dashboards.

• Lead analytical onboarding and mentorship across teams to grow data fluency, strategic decision making and experimentation culture.

WE'D LOVE TO MEET YOU IF

• You have 5+ years of relevant working experience in a data-intensive analytics role where you learned how to work with raw data, such as in Digital Analytics, Product Analytics, or Business Intelligence, preferably in e-commerce.

• You have a strong knowledge of e-commerce KPIs and how they can be defined and measured across the customer journey.

• Strong knowledge of advanced analytics and statistical software languages (preferably Python), particularly regarding data clean-up and manipulation. Proficient in statistical models, prediction techniques, and GenAI applications.

• You have a strong knowledge of A/B testing best practices and/or quasi-experimental, and  causal inference models.

• You are very comfortable working with onsite user behaviour data, from defining tracking specifications that capture relevant user actions to generating insights via advanced analytic models 

• You have experience working with orchestration or automation tools (e.g., Airflow) and are comfortable building or maintaining repeatable reporting pipelines ( e.g. Tableau). 

• You have strong communication and data storytelling skills and the ability to explain processes, choices, and insights to stakeholders across all levels of seniority and technical background.

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 Lounge by Zalando, 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 for full-time employees

• 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