Team Lead Product Analyst Lounge by Zalando (all genders)
Team Lead Product Analyst Lounge by Zalando (all genders)
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Job Description
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 Lounges 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 EngineeringData 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 were 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.
INCLUSIVE BY DESIGN
If you think you have what it takes we encourage you to apply even if you dont meet every single requirement. You may just be the right candidate for this or other roles!
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: WED 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.
WED LOVE TO MEET YOU IF
You have 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.
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 story telling 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 heres 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
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
Required Experience:
IC
Employment Type
Full-Time
