Senior Data Analyst, Customer Segmentation - Markets (all genders) at Zalando

Berlin, Berlin, Germany

Zalando Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
E-commerce, RetailIndustries

Requirements

  • 5+ years experience in using customer data in smart and creative ways to answer business questions and/or drive targeting efforts incl. model driven statistical analysis, e.g. Causal Inference
  • Very good quantitative degree, e.g. in Economics, Statistics, Mathematics, Computer Science
  • Advanced skills in data methodologies and technologies (Python and SQL, PySpark)
  • Visualization tools, e.g. MicroStrategy, Tableau, and versioning tools, e.g. Git/GitHub, are considered a plus
  • Curious about learning new technologies, e.g. Databricks, AWS data lake, Airflow
  • Strong communicator to challenge the status-quo, tell data stories, maximize decision impact of your results and liaison with commercial and tech people alike
  • Proactive, fast learner, problem solver, teamplayer, comfortable working in English in a fast paced international work environment

Responsibilities

  • Develop and analyze customer segmentations and audiences, support targeting and steering initiatives to drive customer value and retention
  • Collaborate with data scientists and engineers to optimize and productionalize your segmentations and audience selections
  • Design, conduct and evaluate A/B tests to optimize your segmentations and audiences according to their use case
  • Recommend testing strategies to optimize targeted campaigns, campaign efficiency and ultimately customer value and retention
  • Translate complex questions into sound analytical tasks, autonomously planning large scale projects
  • Collaborate with business stakeholders to identify new strategic opportunities and recommend actions supporting the customer strategy
  • Present your findings and work closely with business stakeholders and product owners to operationalize your recommendations
  • Drive data mindset in the team and provide senior guidance to your team members in terms of methodology & technology to raise the bar within the department
  • Collaborate with other analysts, data scientists, engineers and commercial colleagues to untap new sources of data and know-how

Skills

Customer Segmentation
Data Analysis
A/B Testing
Customer Analytics
Audience Targeting
Segmentation Optimization

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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