(Junior) Data Analyst Einkauf (m/w/d)

Bergfreunde

Bergfreunde, established in 2006, is a leading outdoor online retailer in Europe, operating with over 700 employees. The company is driven by values such as passion, ambition, teamwork, and respect, aiming to continue their growth trajectory. The Merchandise Planning team is enhancing its capacity and seeks a dynamic analyst to support data-driven decision-making and assortment control while bringing theoretical knowledge into practice.

In this role you can expect to have the responsibilities:

• Assist in modeling complex data structures ensuring high data quality.
• Support in creating and evaluating sales analyses and forecasting.
• Evaluate reorder options and develop need and profitability analyses.
• Participate in discount management and merchandise planning, control, and management.
• Analyze financial results and contribute to decision-making with merchandise reports.
• Serve as a knowledgeable contact for stakeholders regarding commercial data and tools.

This role comes with the following benefits:

• Flexible working hours, mobile working, and Workation within EEA and Switzerland.
• 30 vacation days.
• Job ticket, proximity to the train station, bike parking, and showers.
• After-Work events, hiking days, team events, and joint celebrations.
• Yoga classes, fitness room, and Health and Sustainability Weeks.
• Focus on strengths, open and appreciative corporate culture with many creative possibilities, language courses, and trainer certification.
• Shop discount, sale of B-goods, and company pension plan.

This role requires you to have:

• Completed commercial training or a degree with a focus on economics or mathematics, or equivalent qualification.
• Excellent teamwork skills and organizational talent, with the ability to work independently and reliably.
• Strong analytical skills, commercial thinking, and numerical affinity.
• Basic programming knowledge in SQL.

You would benefit from having:

• Knowledge of VBA and LookML.
• Proficient in MS Excel and interested in working with large data sets (Big Data) and complex issues.
• Negotiable proficiency in German and English.