SENIOR DATA ANALYST CONSUMER INSIGHTS & SEGMENTATION
THE ROLE & THE TEAM
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 Scientists, driving innovation in marketing measurement, causal inference, and customer behavior analysis that actively shape our long term business decisions.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our
hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy:
https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our- employee-resource-groups
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Lead research and methodology development in Marketing Mix Modeling (MMM), incrementality measurement, and causal inference, using Bayesian and frequentist approaches.
Mentor and upskill analysts, fostering a culture of learning and collaboration
Design and implement advanced statistical models to identify causal relationships between customer behavior and business KPIs, identifying key decision events in the customer journey.
Drive marketing measurement research, working with cross-functional teams (Data Engineering, Marketing & Analytics) and external partners.
WE’D LOVE TO MEET YOU IF YOU HAVE
Masters Degree in Statistics, Economics, Applied Mathematics, Computer Science, or a related quantitative field.
5+ years of hands-on experience in causal inference, experimental/quasi-experimental design, and marketing measurement (e.g., MMM and incrementality measurement).
Expertise in Bayesian/frequentist modeling and their application to business problems
Proficiency in Python/R using its relevant frameworks for statistic analysis
First experience using distributed systems (Spark, Databricks)
Driven to see yourself as part of a team, fostering collaboration and providing support to the team
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
Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with 60% (or more) 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
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-
peer review
Learn all about Zalando and our values here:
https://jobs.zalando.com/en/?gh_src=22377bdd1us
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.
