Team Lead Product Analytics / Lounge by Zalando (all genders)

Lounge by Zalando is an online shopping club for fashion and lifestyle products across Europe. As a shopping club, Lounge's main premise is to offer exclusive deals with limited availability to fashion conscious customers. As Team Lead Product Analytics in the Customer‑Facing Applications (CFA) domain you will lead product analysts conducting A/B tests and data analyses to support product development. You will support user research and help advance our data analytics through adapting new AI tools and practices. You will collaborate with cross‑functional teams that include Product Managers, User Researchers, Designers, Engineers and Data Scientists. You will bridge between analytics and business impact by translating complex data into actionable insights that directly shape product direction, customer experience, and long‑term business outcomes.

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.

What we'd love you to do (and love doing)

• Lead the design and implementation of data analyses to uncover patterns in user behavior and drive deeper product understanding.
• Guide the combination of quantitative data analysis with qualitative user research to inform decisions regarding our customers' experience.
• Work with key partners in product, engineering, and data science teams to deliver ongoing improvements to the product by generating insights and measuring impact.
• Guide the design, execution, and interpretation of A/B tests at scale; guide product teams on experiment best practices.
• Develop and evaluate causal inference models to measure impact beyond traditional A/B tests.
• Lead analytical onboarding and mentorship across teams to grow data fluency, strategic decision making and experimentation culture.

Qualifications

• At least 2 years of experience leading cross‑functional or analytical teams, mentoring peers, and setting strategic direction within a data or product‑driven environment.
• 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.
• Strong knowledge of e‑commerce KPIs and how they can be defined and measured across the customer journey.
• Strong knowledge of analytics and statistical software languages (preferably Python).
• Strong knowledge of A/B testing best practices.
• Very comfortable working with onsite user behaviour data, from defining tracking specifications that capture relevant user actions to generating insights via advanced analytic models.
• Comfortable building or maintaining repeatable reporting pipelines (e.g. Tableau).
• Strong communication and data story‑telling skills and the ability to explain processes, choices, and insights to stakeholders across all levels of seniority and technical background.

Our offer

• 27 days of holiday a year to start for full‑time employees
• 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