📌 Core Information
🔹 Job Title: Data Analyst - Performance Marketing
🔹 Company: Zalando
🔹 Location: Berlin, Germany
🔹 Job Type: Full-time
🔹 Category: Data & Analytics
🔹 Date Posted: May 27, 2025
🔹 Experience Level: 2-5 years
🔹 Remote Status: Hybrid (2 days per week in the office)
🚀 Job Overview
Key aspects of this role include:
- Supporting Zalando’s performance marketing efforts across various advertising channels
- Collaborating with marketing professionals, product managers, engineers, and applied scientists to evaluate and optimize marketing investments
- Conducting exploratory data analysis and assisting in selecting appropriate methodologies for evaluation
- Evolving the KPI framework and improving existing marketing performance measurement models
ASSUMPTION: This role requires a strong analytical foundation and hands-on experience in data analysis, with a focus on marketing performance and optimization.
📋 Key Responsibilities
✅ Collaborate with senior analysts and marketing teams on optimization projects across global ad platforms, helping prepare performance analyses
✅ Support testing and experimentation initiatives within Performance Marketing to improve the estimation of true marketing effectiveness and optimize marketing strategies
✅ Support marketing measurement initiatives, ensuring accuracy and relevance in tracking and reporting methodologies
✅ Conduct exploratory data analysis, formulate initial hypotheses, and assist in selecting appropriate methodologies for evaluation
✅ Collaborate with other analysts to evolve the KPI framework, create models to detect metric anomalies, and improve existing marketing performance measurement models
ASSUMPTION: The role involves a mix of collaborative work with cross-functional teams and independent data analysis to drive informed decision-making.
🎯 Required Qualifications
Education: A degree in a quantitative field such as statistics, economics, computer science, engineering, or similar
Experience: +2–4 years of experience as a Data Analyst, Product Analyst, or similar role in a fast-paced business environment
Required Skills:
- Proficient in SQL, including best practices like window functions and CTEs
- Experience using Python for data analysis (strong advantage)
- Strong understanding of A/B testing and foundational causal inference methods (e.g., difference-in-differences)
- Exposure to predictive models (e.g., logistic regression) is a plus
- Experience working with marketing and tracking data, helping define data needs, and comfortable with basic ETL processes
- Strong communication skills to translate complex data into clear insights for both technical and non-technical audiences
Preferred Skills:
- Exposure to data governance or compliance topics
- Experience working with marketing measurement tools and platforms
ASSUMPTION: The ideal candidate will have a strong analytical background, with a focus on marketing performance and optimization, and experience working with relevant tools and technologies.
💰 Compensation & Benefits
Salary Range: €45,000 - €65,000 per year (based on experience and performance)
Benefits:
- 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 (60% remote per week)
- 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
- Drive your development through our training platform and biannual peer-to-peer review
Working Hours: Full-time (40 hours per week)
ASSUMPTION: The salary range is estimated based on industry standards for data analyst roles in Germany, with a focus on marketing performance and optimization.
📌 Applicant Insights
🔍 Company Context
Industry: Zalando is a leading online fashion and lifestyle platform in Europe, operating in 25 markets and offering a wide range of international brands
Company Size: Zalando has over 10,000 employees, providing a large and diverse work environment
Founded: Zalando was founded in Berlin, Germany, in 2008
Company Description:
- Zalando is committed to combining its passion for self-expression through fashion with its unwavering commitments to sustainability and diversity & inclusion
- The company promotes an inclusive corporate culture that welcomes different perspectives and brings together people from diverse backgrounds
- Zalando's integration of fashion, operations, and online technology gives it the capability to deliver a compelling value proposition to both customers and fashion brand partners
Company Specialties:
- Technology
- Fashion
- Operations & Logistics
- Commerce
- and account management
Company Website: http://jobs.zalando.com
ASSUMPTION: Zalando's large size and diverse workforce provide ample opportunities for career growth and development.
📊 Role Analysis
Career Level: This role is suitable for early to mid-career data analysts looking to gain experience in marketing performance and optimization
Reporting Structure: The role reports to the Performance Marketing department and collaborates with various cross-functional teams
Work Arrangement: The role follows a hybrid working model, with 2 days per week in the office and the rest of the time working remotely
Growth Opportunities:
- Expanding skills in marketing performance and optimization
- Gaining experience working with cross-functional teams
- Potential for career progression within the Performance Marketing department or other areas of the business
ASSUMPTION: This role offers opportunities for professional growth and development within a dynamic and collaborative team environment.
🌍 Location & Work Environment
Office Type: Zalando's headquarters are located in Berlin, Germany, with additional offices in other European cities
Office Location(s): Valeska-Gert-Straße 5, Berlin, Germany
Geographic Context:
- Berlin is a vibrant and multicultural city with a thriving tech industry
- The city offers a high quality of life, with numerous cultural attractions, parks, and recreational activities
- Berlin has a well-developed public transportation system, making it easy to commute to and from the office
Work Schedule: Full-time (40 hours per week), with a hybrid working model (2 days per week in the office)
ASSUMPTION: Berlin provides a dynamic and multicultural work environment, with ample opportunities for personal and professional growth.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening
- Technical assessment (SQL and Python tasks related to A/B testing and basic causal inference methods)
- On-site or video interview with the hiring manager and team members
- Final decision and offer
Key Assessment Areas:
- Technical skills (SQL, Python, A/B testing, causal inference)
- Problem-solving abilities
- Communication and collaboration skills
- Cultural fit and alignment with Zalando's values
Application Tips:
- Tailor your resume and cover letter to highlight your relevant skills and experiences for this role
- Demonstrate your understanding of marketing performance and optimization in your application materials
- Prepare for the technical assessment by reviewing your SQL and Python skills and brushing up on A/B testing and causal inference methods
- Research Zalando's company culture and values to show your enthusiasm and alignment during the interview
ATS Keywords: Data analysis, marketing performance, optimization, A/B testing, causal inference, SQL, Python, collaboration, communication
ASSUMPTION: The application process for this role is competitive, and applicants should be prepared to demonstrate their technical skills and cultural fit throughout the interview process.
🛠️ Tools & Technologies
- SQL
- Python
- Marketing measurement tools and platforms (e.g., Google Analytics, Facebook Ads Manager)
- Data visualization tools (e.g., Tableau, Power BI)
ASSUMPTION: The tools and technologies required for this role are standard in the data analysis and marketing performance optimization fields.
👔 Cultural Fit Considerations
Company Values:
- Customer focus
- Think and act like an owner
- Craft extraordinary experiences
- Stay curious and never stop learning
- Act with integrity
- Work together as one Zalando
Work Style:
- Collaborative and cross-functional
- Data-driven and analytical
- Agile and adaptable
- Results-oriented and focused on continuous improvement
Self-Assessment Questions:
- How do you approach balancing the needs of multiple stakeholders in a marketing optimization project?
- Can you describe a time when you had to adapt your approach to a marketing performance analysis due to changing circumstances?
- How do you ensure that your data-driven insights are communicated effectively to both technical and non-technical audiences?
ASSUMPTION: Zalando values a diverse and inclusive work environment, with a strong emphasis on collaboration, data-driven decision-making, and continuous learning.
⚠️ Potential Challenges
- Managing multiple projects and priorities in a fast-paced environment
- Balancing the need for data-driven insights with the need for quick decision-making
- Collaborating effectively with cross-functional teams with varying levels of data literacy
- Adapting to changes in marketing strategies and priorities
ASSUMPTION: The role presents unique challenges that require strong project management, communication, and adaptability skills.
📈 Similar Roles Comparison
- Compared to other data analyst roles, this position has a stronger focus on marketing performance and optimization
- Industry-specific context: Zalando's role is unique in its focus on fashion and lifestyle ecommerce, with a strong emphasis on customer experience and sustainability
- Career path comparison: This role offers opportunities for growth within the Performance Marketing department or other areas of the business, with potential for career progression into more senior or specialized roles
ASSUMPTION: This role offers unique opportunities for professional growth and development within a dynamic and collaborative team environment.
📝 Sample Projects
- Conducting an A/B test to optimize the performance of a Google Search ad campaign
- Analyzing customer data to identify trends and opportunities for targeted marketing campaigns
- Developing a predictive model to estimate the true marketing effectiveness of a Meta ad campaign
ASSUMPTION: These sample projects illustrate the types of data analysis and optimization tasks that the role may involve, with a focus on marketing performance and customer insights.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Performance Marketing department?
- How does the role fit into the broader marketing strategy and roadmap for the company?
- What are the key priorities for the role in the first 30, 60, and 90 days?
- How does Zalando support the professional development and growth of its data analysts?
- What are the biggest challenges facing the Performance Marketing department, and how can this role contribute to addressing them?
ASSUMPTION: These questions are designed to help applicants better understand the role, the team, and the company, and to demonstrate their interest and enthusiasm for the position.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link: https://jobs.zalando.com/en/jobs/2720007/Data-Analyst---Performance-Marketing
- Tailor your resume and cover letter to highlight your relevant skills and experiences for this role
- Prepare for the technical assessment by reviewing your SQL and Python skills and brushing up on A/B testing and causal inference methods
- Research Zalando's company culture and values to show your enthusiasm and alignment during the interview
- Follow up with the hiring manager or talent acquisition partner after your interview to express your interest in the role and ask any remaining questions
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
