Senior Data Analyst

SENIOR DATA ANALYST MARKETING SCIENCE - 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 Applied Scientists, driving innovation in marketing measurement using advanced statistical methods which help us to quantify and guide our marketing investments.  

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:

Our employee resource groups: employee-resource-groups

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)

• Lead research and methodology development in Marketing Mix Modelling (MMM), incrementality measurement, and causal inference, using Bayesian and frequentist approaches.

• Actively drive the development of our Geo Lift experimentation methodologies using states of the art approaches

• Drive marketing measurement research, working with cross-functional teams (Data Engineering, Marketing & Analytics) and external partners.

• Mentor and upskill analysts, fostering a culture of learning and collaboration

WE'D LOVE TO MEET YOU IF YOU HAVE

• Master's Degree in Data Science, Statistics, Economics, Applied Mathematics, Computer Science, or a related quantitative field.

• 5+ years of hands-on experience in causal inference in the context of marketing

• Strong foundation in research design, experimental methodologies, and quasi experimental techniques

• Strong expertise in bayesian and frequentist modeling and their application to business problems in the context MMM and marketing measurement

• Hands on expertise in defining Geo Lift experimentation based on different causal inference techniques   

• Proficiency in Python/R using its relevant frameworks for statistical analysis

• First experience using distributed systems using systems such as Databricks

• Commitment to methodological rigor while delivering practical business value

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:

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.