Senior Data Analyst - Size & Fit (all genders) at Zalando

Berlin, Berlin, Germany

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, Fashion, RetailIndustries

Requirements

Proven track record of 5+ years experience as a Data Analyst or similar role
University degree in Mathematics, Economics, Computer Science, Quantitative social science, or a comparable subject
Strong technical background with advanced SQL skills and programming background, including, but not limited to, Python and Spark
Excellent knowledge in coding for data retrieval, exploration and analysis
Advanced statistical testing skills
Constant drive and tenacity to learn new techniques and tools
Understanding of the economics of online platforms and/or online fashion retailers, as well as the commercial KPIs governing their success
Strong communication skills to convince technical and non-technical audiences with insights and compelling data-driven storytelling that enables decision-making
Enjoy working cross-functionally with great stakeholder management skills to work with different levels of management

Responsibilities

Bring a business data-driven analytical approach to the Size & Fit Team: generate hypotheses and test them by performing descriptive, exploratory and quantitative analyses
Translate metrics from algorithmic and data products into actionable business insights
Identify when a hypothesis requires an experiment, and help create and drive them
Act as the connector between the Applied Science team and the Product team
Translate Size and Fit benefits to answer complex business questions and identify and measure commercial opportunities
Be a reliable partner for the Size & Fit Team on commercial reporting and analytics, and support the Team with more complex analysis
Collaborate with cross-functional leaders from Applied Science, Product, Content and Customer Analytics to drive innovation
Incorporate data from different sources within and outside of Zalando to drive projects

Skills

SQL

Python

Data Analysis

Statistical Analysis

A/B Testing

Data Visualization

Business Intelligence

Zalando

European online fashion retail marketplace

About Zalando

Zalando operates as a major e-commerce platform in Europe, focusing on fashion and lifestyle products. It allows customers to shop for a wide variety of clothing, shoes, and accessories from both established and emerging brands through its website and mobile app. The platform generates revenue by selling products directly to consumers and earning commissions from third-party sellers who list their items on Zalando. A key feature of Zalando is its commitment to providing a smooth shopping experience, which includes free delivery and returns, a large selection of products, and personalized recommendations. Zalando Plus, a premium membership program, offers additional benefits like faster shipping and exclusive deals. The company distinguishes itself from competitors by investing in technology and logistics to enhance customer satisfaction and streamline operations.

Berlin, GermanyHeadquarters

2008Year Founded

$149.8MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Paid Vacation

Hybrid Work Options

Company Equity

Professional Development Budget

Visa Support

Wellness Program

Risks

Acquisition of About You may strain financial resources and affect profitability.

Virtual Fitting Room may face technological challenges and user adoption issues.

Competition from Vestiaire Collective's AI advancements could threaten Zalando's market position.

Differentiation

Zalando offers a seamless shopping experience with free delivery and returns.

The company invests heavily in technology for efficient operations and customer satisfaction.

Zalando's wide selection includes both well-known and emerging fashion brands.

Upsides

Acquisition of About You could expand market share in European fashion e-commerce.

Virtual Fitting Room may reduce return rates and improve customer satisfaction.

Zalando Partner platform could enhance third-party seller experience and increase commission revenue.

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