Overview
GLOSSYBOX is a product of Beauty Trend Holding GmbH and one of the most successful ventures of Rocket Internet GmbH, which has led a number of online companies such as eDarling, Zalando, and Groupon to lasting success.
Through innovative means, our business model brings high-class brands from the cosmetic and consumer goods industry together with beauty and lifestyle product customers and enthusiasts. Whether in the form of a single, exclusively arranged box or as a monthly subscription, our customers receive individually selected samples of high-end beauty and lifestyle products – from well-known luxury brands to secret newcomer labels – delivered directly to their door. Utilizing various marketing channels, we foster intensive and sustainable relationships with customers so that our partners receive worthwhile feedback on their products as well as novel insights into their target groups.
Our heart beats in Berlin – the German Silicon Valley. Since launch in March 2011, we’ve grown enormously and currently employ over 400 people in 17 countries worldwide. From our Berlin headquarters, we develop global strategies for all business areas and implement them for our various international subsidiaries.
GLOSSYBOX is an exciting and dynamic company with ambitious goals. We offer many opportunities and the chance to actively participate in the company’s success. Therefore we are looking for energetic, hardworking and fun people who enjoy moving things forward and aren’t scared of taking on a lot of responsibility really quickly.
Responsibilities
Develop and implement internal and external reporting solutions concerning relevant KPIs (e.g. customer behavior, traffic and conversion) to expand the business intelligence department as part of GLOSSYBOX’s global information management strategy.
Design and develop data warehouse and ETL solutions in SQL and SSIS.
Design and develop multidimensional data cubes in SSAS and reports in SSRS.
Collaboration in cross-functional project teams as competent advisor regarding data modeling, structuring and usage.
Skills
You possess strong Excel and advanced SQL skills and are interested to learn more about the definition and design of data warehouse and ETL processes.
You are very analytical, able to think logically and a little bit geeky. Digging into numbers and big data is great fun for you.
You are highly motivated, able to work both independently and on a team with a strong desire to learn and apply new talents.
Education
You must be a student or recent graduate of an economics or computer sciences related studies and have already gained first practical experience in the field of SQL Server platform.
Compensation
• Atttractive salary package
• Pension scheme
• Free drinks such as water, juice, coffee
• Free fruit, müsli
• Snack machine
• Discount for fitness facility membership
• Language courses
• Regular team events
• Flexible working hours