Brand Assistant - GLOSSYBOX
- The Brand Assistant will be a vital part of the Brand Team; Being the link between brand sourcing and operations. From closed deal the person will be responsible for process ownership, operations coordination, campaign management, analytics and brand feedback reporting.
- The person will be working in the brand team and report to our Brand Director. The person will also work close to our partner brands to ensure we meet our promised deliverables. We also see that the person will take our analytics, data feedback presentations to the next level. In addition, the role includes to coordination of information between the local SWE based team, our WH, and our HQ in UK. Hence, the person needs to like to have a fair amount of administrative tasks at hand and being a self-starter.
- The role is perfect for an analytical- and numbers driven person that wants to jump start a career within marketing.
- 0-3 years’ experience within statistics, economics or equivalent
- BSc degree or relevant education
- Excellent oral and verbal skills in Swedish and English
- Great interest in statistics and analytics
- Excellent Excel and PowerPoint skills
- Understanding and experience of SPSS or any other relevant statistics analytics programs.
- To have an understanding of how to create product- and consumer surveys, and how to analyze the results in an effective manner.
- Structured and analytical even during stressful situations.
- Positive, can-do attitude that spreads throughout the organization, even during stressful situations. Possess a high level of commitment and positive energy in everything that you take on.
- Solution driven whom thrives and succeeds in a culture that is fast moving.
- Flat hierarchies and a highly entrepreneurial work environment
- The opportunity to take over responsibility from day 1
- The chance to shape the future of the leading disruptor in the international luxury beauty discovery space
- A young and dynamic environment with an international and highly motivated team
- Varied tasks and a steep learning curve
- Flat hierarchies, constant learning and casual workplace