Principal Product Analyst (all genders) - Lounge by Zalando

Berlin, Germany

Zalando

Shop the latest fashion & shoes online | Free delivery* & returns on most of the orders | Over 1,900 Brands – new products every day!

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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. 

As a Principal  Product Analyst on the Lounge team, you will contribute and shape the development of the core components of the article lifecycle optimization platform, following engineering best practices with a strong focus on operational excellence and high reliability. Developing a world-class pricing algorithm is a great opportunity to directly contribute to a key pillar of Lounge’s future success: Machine learning, econometrics, and operations research drive our efforts to optimise ca. 5 billion EUR in discount investments each year.  

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)

  • Create a strategy, align with key partners, generate insights, deliver analysis, and deliver ongoing improvements independently for an ambiguous problem.

  • Develop in-depth analytical (user) understanding of what drives growth for the product and how it can be improved.

  • Be a data explorer, an educator, and a partner in decision making, while challenging and contributing to product decisions based on your insights.

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

  • Define and evolve analytics frameworks to measure user experience across app and web.

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

  • 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 analysis methodologies.

  • You are very comfortable working with onsite user behaviour data, from defining tracking specifications that capture relevant user actions to generating insights from the data (for example using Google Analytics or a similar service like GA4).

  • 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, 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

ABOUT LOUNGE BY ZALANDO

Lounge by Zalando is an online outlet for fashion and lifestyle products in 17 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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing Airflow Business Intelligence E-commerce Econometrics Engineering Generative AI KPIs Machine Learning Pipelines Python Research Statistics Tableau Testing

Perks/benefits: Career development Fitness / gym Health care Relocation support

Region: Europe
Country: Germany

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