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Principal Product Analyst - Growth (all genders)

Zalando

Berlin

Vor Ort

EUR 80.000 - 110.000

Vollzeit

Vor 18 Tagen

Zusammenfassung

A leading fashion e-commerce company in Berlin is seeking a Principal Product Analyst to leverage data in shaping the customer experience. The ideal candidate will analyze complex datasets, design A/B tests, and define performance metrics, while collaborating with cross-functional teams. Candidates should have extensive experience in analytics, proficiency in SQL and Python, and strong communication skills. This position offers a hybrid working model along with various employee benefits.

Leistungen

40% off fashion and beauty products
2 paid volunteering days per year
Family services support
Health and wellbeing options
27 days of vacation
Relocation assistance

Qualifikationen

  • 8+ years in a data-intensive role, preferably in e-commerce or consumer tech.
  • Proficiency in SQL and large datasets management.
  • Experience in data cleaning and analysis using Python or R.

Aufgaben

  • Analyze complex datasets to identify product opportunities.
  • Design and analyze A/B tests to improve decision-making.
  • Define metrics to measure product performance.

Kenntnisse

Analytics experience
SQL
Python
A/B testing
Communication skills
Curiosity

Ausbildung

Degree in Statistics, Computer Science, Mathematics or Data Science

Tools

Data visualization tools
Jobbeschreibung
The Role and the Team

Data is a critical part of our product development process and we are the chief advocates for its quality and usage. We are looking for a Principal Product Analyst to join our team focusing on a variety of digital experiences for our customers including our Gen AI product - Zalando Assistant. You will be instrumental in supporting our understanding of customer engagement and will be part of a cross‑functional team that leverages data to directly influence product improvement and strategic direction. You’ll work closely with Product Managers, Software Engineers, Applied Scientists and Business Leaders to make data‑driven decisions that shape the future of our customer experience. Specifically you will be working to understand how customers are engaging with new AI‑backed product experiences on Zalando by diving deep into our data to deliver key insights to improve the product direction.


WHAT WED LOVE YOU TO DO (AND LOVE DOING)


  • Contribute to sourcing and reconciling data from across the company to produce high‑value data products for your stakeholders and enablement.

  • Analyze large complex datasets to identify product opportunities distilling findings into clear, relevant and impactful insights.

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

  • Advise in the design of A/B tests or other quasi‑experiments, analyzing and deep‑diving into the results to provide recommendations and identify further opportunities.

  • Define key metrics to measure product performance and customer behavior.

  • Design and develop scalable solutions for monitoring and reporting ensuring they provide strategic clarity.

  • Define data requirements and support implementation for product launches and iteration.

  • Mentor analysts, foster collaboration with other teams and actively share knowledge and expertise within Zalando’s analytics and science community.

  • Serve as an interface between data stakeholders across the organization to ensure alignment, communication and understanding of data products and analyses.


WED LOVE TO MEET YOU IF HAVE


  • Extensive hands‑on experience in analytics or data science with at least 8 years in a data‑intensive role, preferably in e‑commerce or consumer tech.

  • Degree in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science or equivalent experience.

  • Proficiency in SQL, working with large complex datasets.

  • Competency in Python (or R) for data cleaning, manipulation and analysis.

  • In‑depth understanding of A/B testing, including test design, execution and analysis.

  • Strong communication and storytelling skills with the ability to explain processes, choices, trade‑offs and insights to stakeholders across all levels of seniority and technical backgrounds.

  • A proactive, curious and collaborative mindset with the ability to thrive in ambiguous, fast‑paced environments.


INCLUSIVE BY DESIGN

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.



  • our diversity & inclusion strategy : 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.

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