📌 Core Information
🔹 Job Title: Senior Marketing Analyst - SQL (all genders)
🔹 Company: zooplus SE
🔹 Location: Munich, Germany
🔹 Job Type: Full-time, Hybrid
🔹 Category: Retail, E-commerce
🔹 Date Posted: May 29, 2025
🔹 Experience Level: Mid-level (2-5 years)
🔹 Remote Status: On-site with hybrid options
🚀 Job Overview
Key aspects of this role include:
- Driving data-driven decisions to optimize loyalty programs and enhance customer engagement
- Collaborating with cross-functional teams across Europe to identify key drivers of customer loyalty
- Creating visualizations and presenting insights to top management to influence strategic decisions
- Ensuring data integrity and comprehensive analysis as the specialist of loyalty program data
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively with various teams and stakeholders.
📋 Key Responsibilities
✅ Provide advanced analytics support for loyalty and customer engagement teams using SQL, Excel, and other relevant tools
✅ Lead analytical topics related to loyalty and customer engagement, setting goals with business stakeholders
✅ Create visualizations and present insights to top management to drive data-driven decisions
✅ Drive various analytical projects in close alignment with the data science team and business stakeholders to identify key drivers of customer loyalty
✅ Periodically present findings to key stakeholders, along with actionable recommendations for enhancing the loyalty program
✅ Act as the specialist of loyalty program data, ensuring data integrity and comprehensive analysis
ASSUMPTION: This role involves a mix of independent work and collaboration, requiring strong project management skills and the ability to work effectively in a team.
🎯 Required Qualifications
Education: University degree in (business) mathematics, statistics, computer science, or business administration with an analytical focus
Experience: 2-5 years of experience in data analysis, with a strong understanding of customer loyalty, retention strategies, and relevant KPIs, ideally within an e-commerce environment
Required Skills:
- Advanced SQL knowledge and experience using Tableau, Power BI, or similar tools
- Strong understanding of customer loyalty, retention strategies, and relevant KPIs
- Experience in data modeling with Python (preferred)
- Familiarity with CRM systems and customer engagement platforms
Preferred Skills:
- Experience in data visualization and presentation
- Fluency in multiple European languages
ASSUMPTION: Candidates with experience in a similar role or industry, as well as those with relevant certifications, may be given preference.
💰 Compensation & Benefits
Salary Range: €45,000 - €60,000 per year (based on experience and qualifications)
Benefits:
- 20% discount in the zooplus shop
- Internal and external training opportunities
- Team events and company mobile phone for work and personal use
- 28 vacation days and days off on 24th and 31st of December
- Corporate rates at a local gym chain
Working Hours: Full-time (40 hours per week) with flexible hybrid work arrangements
ASSUMPTION: The salary range provided is an estimate based on market research and may vary depending on the candidate's qualifications and experience.
📌 Applicant Insights
🔍 Company Context
Industry: Retail, E-commerce
Company Size: Medium (1,001-5,000 employees)
Founded: 1999
Company Description:
- Europe’s leading online pet platform, delivering moments of happiness to more than 9 million pet parents each year
- Driven by core values of Care, Courage, Openness, and Simplicity
- Operates in 30 countries across Europe with over 1,200 employees
Company Specialties:
- Pet supplies and food
- E-commerce
- Loyalty programs and customer engagement
Company Website: zooplus.com
ASSUMPTION: zooplus is a well-established company in the e-commerce industry, with a strong focus on customer experience and data-driven decision-making.
📊 Role Analysis
Career Level: Mid-level (2-5 years of experience)
Reporting Structure: Reports to the Head of Loyalty & Customer Engagement
Work Arrangement: Hybrid (on-site with remote options)
Growth Opportunities:
- Potential career progression into management or specialist roles within the data analytics field
- Opportunities to work on international projects and collaborate with diverse teams
- Access to internal and external training programs to develop skills and advance career growth
ASSUMPTION: This role offers opportunities for professional growth and development within the company.
🌍 Location & Work Environment
Office Type: Modern, collaborative office space
Office Location(s): Herzog-Wilhelm-Strasse 18, Munich, Germany
Geographic Context:
- Munich is the capital of Bavaria, Germany, with a population of over 1.5 million
- Known for its vibrant culture, rich history, and high quality of life
- Home to numerous tech and e-commerce companies, offering ample networking opportunities
Work Schedule: Full-time (40 hours per week) with flexible hybrid work arrangements
ASSUMPTION: Munich offers a dynamic and multicultural environment, with a strong focus on work-life balance and innovation.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video call with the HR department
- Technical assessment or case study presentation
- Final interview with the hiring manager and team members
Key Assessment Areas:
- Analytical and problem-solving skills
- Communication and presentation abilities
- Cultural fit and motivation
- Technical proficiency in SQL, Excel, and data visualization tools
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences
- Prepare for technical assessments by practicing SQL queries and data visualization
- Research zooplus and the role to demonstrate your enthusiasm and understanding
ATS Keywords: SQL, Excel, Data Analysis, Customer Loyalty, Retention Strategies, Data Modeling, Python, Tableau, Power BI, CRM Systems, Customer Engagement, Analytical Skills, Dashboard Reporting, Data Integrity, Presentation Skills, Stakeholder Management
ASSUMPTION: The application process may vary depending on the specific needs of the hiring team and the number of applicants.
🛠️ Tools & Technologies
- SQL
- Excel
- Tableau
- Power BI
- Python (preferred)
- CRM systems and customer engagement platforms
ASSUMPTION: The required tools and technologies may evolve over time as the company adopts new solutions.
👔 Cultural Fit Considerations
Company Values:
- Care
- Courage
- Openness
- Simplicity
Work Style:
- Collaborative and data-driven
- Results-oriented and focused on continuous improvement
- Adaptable and open to feedback
Self-Assessment Questions:
- How do you embody the core values of Care, Courage, Openness, and Simplicity in your work?
- How do you approach collaborating with diverse teams and stakeholders to drive data-driven decisions?
- How do you ensure the integrity and comprehensiveness of your data analysis, and how do you communicate your findings effectively?
ASSUMPTION: Successful candidates will demonstrate a strong fit with zooplus's core values and work style.
⚠️ Potential Challenges
- Managing multiple projects and priorities simultaneously
- Working with large datasets and complex queries
- Communicating complex findings to non-technical stakeholders
- Adapting to a fast-paced and dynamic work environment
ASSUMPTION: These challenges can be overcome with strong organizational skills, attention to detail, and effective communication.
📈 Similar Roles Comparison
- Unlike other marketing analyst roles, this position focuses specifically on customer loyalty and engagement, requiring a deep understanding of relevant KPIs and strategies
- As a mid-level role, this position offers opportunities for career growth and development within the company
- This role requires strong analytical and communication skills, as well as the ability to work effectively with diverse teams and stakeholders
ASSUMPTION: Candidates should consider their career goals and preferences when comparing this role to similar positions in the industry.
📝 Sample Projects
- Analyzing customer loyalty program data to identify trends and opportunities for improvement
- Developing and implementing predictive models to identify at-risk customers and optimize retention strategies
- Creating visualizations and dashboards to communicate key insights and drive data-driven decisions
ASSUMPTION: These sample projects are intended to illustrate the types of tasks and responsibilities associated with this role.
❓ Key Questions to Ask During Interview
- How does this role contribute to the overall success of the company's loyalty and customer engagement strategies?
- What are the most pressing challenges facing the loyalty and customer engagement teams, and how can this role address them?
- How does zooplus support the professional development and growth of its employees?
- What are the expectations for this role in the first 30, 60, and 90 days?
- How does the company foster a culture of collaboration and innovation?
ASSUMPTION: These questions are intended to help candidates better understand the role, the team, and the company culture.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant skills and experiences
- Prepare for technical assessments by practicing SQL queries and data visualization
- Research zooplus and the role to demonstrate your enthusiasm and understanding
- Follow up with the HR department one week after submission to confirm receipt of your application
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
