Join the Consumer Insight & Segmentation team within Lounge by Zalando’s marketing department. Our goal is to deepen our understanding of customers and translate data-driven insights into actionable strategies that enhance the customer experience. You’ll collaborate with a group of Data Analysts and Applied Scientists, driving innovation in marketing measurement and customer behavior analysis that actively shape the company’s long term business decisions.
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.
At Zalando, our vision is to be the leading 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
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You research and identify key actions in the customer journey that have a direct, long term impact on our business KPIs and drive the marketing strategies
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Apply experimental and quasi experimental approaches to uncover causal relationship in our customer journey and thus actively the customer journey
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Work together with other Analysts, Applied Scientists, Data Engineers as well as Marketing Managers to translate your insights into products that are actively used
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You drive and foster a causal mindset when it comes to our analytics setup and act as a key supporter to quantify what actually drives marketing and our customers
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Mentor and upskill analysts, fostering a culture of learning and collaboration
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You have a Master’s Degree in Data Science, Statistics, Economics, Applied Mathematics, Computer Science, or a related quantitative field
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You have at least 5+ years of hands-on experience in causal inference in the context of marketing or customer behavioral research
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You have strong foundation in research design, experimental methodologies, and quasi experimental techniques such as Difference-in-Differences (Diff-in-Diff), synthetic control, instrumental variables or others
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You are proficiency in Python/R using its relevant frameworks for statistical analysis
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You have initial experience using distributed systems such as Databricks
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You understand the importance of scientific rigor and business impact, and know how to align both effectively
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.
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Employee shares program
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40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
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2 paid volunteering days a year
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Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
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Work from abroad for up to 30 working days a year
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27 days of vacation a year to start for full-time employees
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Relocation assistance available (subject to prior agreement)
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Family services, including counseling and support
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Health and wellbeing options (including Wellhub, formerly Gympass)
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Mental health support and coaching available
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Drive your development through our training platform and biannual peer-to-peer review