Working Student Data Analyst - Sales (All genders)

Your tasks include:

• Support recurring and ad-hoc analyses using SQL, Excel and BI tools
• Create, maintain and validate dashboards, reports and data extracts
• Analyze sales and customer performance across markets, channels and segments
• Perform data quality checks and translate analysis into clear insights and visualizations for business stakeholders
• Support analytical projects and business initiatives across Central Sales and Regional Markets

Qualifications

• Currently enrolled as a student with at least 6 months of studies remaining (working towards a degreein Business Administration, Economics, Statistics, Mathematics, Computer Science, Data Analytics, or a related field)
• Some experience with data analysis through studies, internships, personal projects, or student work
• Basic SQL and good Excel skills; Tableau, Power BI or similar tools are a plus
• Strong analytical mindset, attention to detail and interest in e-commerce, sales and customer analytics
• Good communication skills and good command of English; German is a plus
• Python knowledge is a plus, but not required
• Available for working minimum 20 hours a week for at least 6 months

Additional Information

Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working, spending 60% of your time in the office and 40% at home.

A note on compensation: We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time, depending on experience, skills, and impact. Most offers are positioned around the midpoint of the range, ensuring a fair and consistent approach across our teams.

At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.

#LI-Hybrid

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung