Principal Product Analyst (all genders) - Lounge by Zalando

Zalando; Berlin; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in the fashion e-commerce sector is seeking a Principal Product Analyst to enhance their article lifecycle optimization platform. This role involves developing pricing algorithms and improving analytics frameworks, contributing to operational excellence and significant discount investments. Ideal candidates will have extensive experience in data analytics, particularly within e-commerce, and possess strong communication skills to engage with diverse stakeholders.

Leistungen

Employee shares program

Discounts on fashion, beauty, and Lounge products

Paid volunteering days

Hybrid work model

Flexible work arrangements

Relocation support

Family services

Health and wellbeing options

Mental health support

Development opportunities through training and reviews

Qualifikationen

• 5+ years in data-intensive analytics roles, preferably in e-commerce.
• Strong knowledge of e-commerce KPIs and statistical software.
• Excellent communication and storytelling skills for diverse stakeholders.

Aufgaben

• Create strategies, generate insights, and improve processes independently.
• Develop a deep understanding of what drives product growth.
• Define and improve analytics frameworks for user experience measurement.

Kenntnisse

Data-intensive analytics

E-commerce KPIs

Statistical software

A/B testing methodologies

User behavior data analysis

Automation tools

Reporting pipelines

Communication skills

Tools

Python

Jobbeschreibung

Principal Product Analyst (all genders) - Lounge by Zalando

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Role & Team

Lounge by Zalando is an online shopping club for fashion and lifestyle products across Europe. Our strategy focuses on pricing and assortment optimization, offering exclusive deals with limited availability to fashion-conscious customers.

As a Principal Product Analyst, you will shape the development of our article lifecycle optimization platform, focusing on operational excellence and high reliability. You will develop pricing algorithms leveraging machine learning, econometrics, and operations research to optimize significant discount investments annually.

Inclusive by Design

At Zalando, we are committed to inclusivity. We evaluate candidates solely on qualifications and merit, welcoming applications from diverse backgrounds. Please inform us of any accommodations needed during the hiring process.

Responsibilities

• Create strategies, generate insights, and improve processes independently for ambiguous problems.
• Develop a deep understanding of what drives product growth.
• Partner in decision-making, challenging and supporting product decisions with data insights.
• Support business decisions with analytical evidence.
• Define and improve analytics frameworks for user experience measurement.
• Design and interpret A/B tests; guide product teams on best practices.
• Explore GenAI tools for automating insights and powering dashboards; lead analytical onboarding and mentorship.

Qualifications

• 5+ years in data-intensive analytics roles, preferably in e-commerce.
• Strong knowledge of e-commerce KPIs, analytics, and statistical software (preferably Python).
• Experience with A/B testing methodologies and user behavior data analysis.
• Familiarity with automation tools and reporting pipelines.
• Excellent communication and storytelling skills for diverse stakeholders.

Benefits

• Employee shares program
• Discounts on fashion, beauty, and Lounge products
• Paid volunteering days, hybrid work model, and flexible work arrangements
• Relocation support, family services, health and wellbeing options, mental health support
• Development opportunities through training and reviews

About Lounge by Zalando

An online outlet offering time-limited sales with discounts up to 75%, focusing on a broad range of fashion and lifestyle brands across Europe.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job functions: Research, Analytics, IT
• Industries: Retail, Technology, Internet, IT Services