THE ROLE & THE TEAM
We are seeking a visionary Head of Product Analytics for our organization Customer Facing Applications (CFA) at Zalando Lounge.
As the Head of Product Analytics, you will drive our product evolution through data-led strategies, overseeing the end-to-end analytics that fuel key product decisions, customer experience optimization, and business growth. A/B testing is a big part of our product development cycles and you will be responsible for improving CFA’s experimentation frameworks through state-of-the-art methodologies to ensure rigorous, data-driven insights that continually improve product outcomes. Additionally, you will help steer our longer-term ambitions in personalization and discovery, exploring opportunities in advanced analytics, including data science methodologies and emerging technologies such as LLMs, as they align with business needs.
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 and develop the analytics function within Customer Facing Applications (CFA), aligning with business goals and driving product success through insights, advanced analytics, and innovation
Act as a strategic partner to Product, Engineering, and Leadership teams, embedding data-driven decision-making into all phases of product development and customer experience improvement.
Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, curiosity, and data excellence.
Deeply understand customer behaviour through quantitative and qualitative analysis, leveraging data to inform product strategies and improvements.
Develop a robust experimentation framework to rigorously test hypotheses, measure outcomes, and iterate on product features to enhance user experience.
Collaborate with product teams to identify key metrics, KPIs, and data sources that help drive product roadmaps, decisions, and product priorities.
Oversee the creation and maintenance of analytical dashboards, reports, and presentations that provide actionable insights for leadership and product teams.
Ensure data accuracy, integrity, and reliability by developing and implementing data governance frameworks.
Leverage advanced analytics, predictive models, and machine learning to forecast customer behaviour, product adoption, and performance trends.
WE'D LOVE TO MEET YOU IF
Proven experience in leading high-performing teams in Product Analytics and Data Science, with a strong focus on e-commerce.
Strong proficiency in SQL, data visualisation tools (e.g., Tableau, PowerBI, Looker), analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude), and statistical analysis tools such as Python.
Expertise in machine learning, AI, and advanced technologies, particularly in the use of Large Language Models (LLMs) for customer-facing applications.
Ability to connect data insights to business outcomes and influence product and executive leadership decisions. Adept at aligning data initiatives with organisational goals and driving data-informed product decisions.
Demonstrated expertise in user behaviour analysis, funnel optimization, cohort analysis, experimentation, and applying data-driven strategies to digital products.
A passionate advocate for customer-centric strategies, company culture, and long-term vision, with a focus on fostering a culture of innovation and collaboration across teams.
Familiarity with predictive analytics and machine learning algorithms to enhance product insights.
Track record of partnering with Product and Engineering teams to integrate AI/ML models into consumer-facing applications.
If you have what it takes, we encourage you to apply even if you don't meet every requirement. You may just be the right candidate for this or other roles!
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 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
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 shopping club 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: 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.
Please note that all applications must be completed using the online form - we do not accept applications via email.
