Working Student Pricing & Analytics with English (all genders)

at  zooplus SE

COMPANY DESCRIPTION

More than 20 years ago, zooplus was one of the first to bring the pet category into the world of eCommerce. Today, we stand strong as Europe’s leading online pet platform, delivering moments of happiness to more than 9 million pet parents each year.
We’re on a mission to create joy for pets and their parents, driven by our core values of Care, Courage, Openness, and Simplicity. At the heart of everything we do, they inspire us to grow, raise the bar for our customers and fuel a pet-first business.
Being part of the Pricing team, will allow you to support the Pricing Manager currently covering 6 countries. You will have great opportunities to acquire new knowledge and have a direct impact on our pricing position in the market. Do not miss this great opportunity!

JOB DESCRIPTION

• Data Analysis and Research:
• Collect, clean, and analyze pricing data from various sources to support pricing strategy development.
• Support market research and the pricing team in identifying trends, customer behavior, and competitor pricing strategies.
• Reporting and Visualization:
• Assist in creating and maintaining pricing reports and dashboards using tools like Excel, Tableau, or Power BI.
• Visualize data insights through charts and graphs to communicate findings effectively to stakeholders.
• Pricing Strategy Support:
• Support the pricing team and Pricing Regional Lead in evaluating the effectiveness of current pricing strategies and recommend adjustments.
• Participate in the development and testing of pricing models and frameworks.

QUALIFICATIONS

• Educational Background:
• Currently enrolled in a Bachelor’s or Master’s program in Business, Economics, Mathematics, Statistics, Data Science, or a related field.
• Technical Skills:
• Proficiency in Microsoft Excel; familiarity with data analysis tools like SQL, Python, R, or visualization tools such as Tableau or Power BI is a plus.
• Basic understanding of statistical analysis and data modeling.
• Analytical Skills:
• Strong quantitative and analytical skills with the ability to interpret complex data and generate actionable insights.
• Attention to detail and accuracy in data handling.
• Communication Skills:
• Effective written and verbal communication skills to present findings clearly to non-technical audiences.

Please refer the Job description for details