OUTFITTERY is the biggest personal shopping service for men in Europe. We are a company for those who want a little more when it comes to their own style - more guidance and expertise, fewer rules and less routine. This is because we believe that style is an unfolding story. We aim to inspire and not dictate what to wear. We understand that style is a journey, and we are here to guide the way. Our every customer gets a personal selection of clothes, which our stylists create out of more than 100 brands – always having in mind the customers’ wishes and budget. In the end, the customers pay only for the items they keep. This way, we get closer to fulfilling our mission, which is to empower anyone to unlock their true style.
In the role of Data Analyst, you will have the opportunity to work on a variety of tasks, take over responsibilities and gain strong insights about the workings of an e-commerce company – all of this in a diverse and international team. You will join as data analyst, working closely with different units of the company as they gain an understanding of our product and business performance.
What you do
- You will identify and lead high value projects, such as customer modelling, business forecasting or marketing acquisition to name just a few from inception to completion.
- You will be responsible for mentoring and supporting the professional growth of your team members.
- You create data pipelines and data marts. You use BI reporting tools such as Tableau and Redash to visualize your work.
- You work closely with business and product stakeholders to evolve and understand our product offering to our customers
- You own project responsibilities for self-service dashboards to enable key stakeholders to answer many of their data-based questions themselves without sending ad hoc requests.
- You own the end-to-end communication of business-related insights to key stakeholders in Finance and Buying
What you know & who you are
- Ideally, a graduate or postgraduate Degree in Statistics, Computer Science, Physics, Mathematics or a similar quantitative field.
- You have a proven track record in synthesizing, visualizing and communicating data narratives in verbal and written format to others reflecting an understanding of diverse audiences.
- You have extensive experience working with structured and unstructured datasets.
- You are comfortable using SQL and scripting languages such as Python to perform data analysis, and apply machine learning or statistical techniques to large datasets.
- Previous experience in mentoring or leading small teams would be advantageous.
- You are a great team player who is experienced with Scrum/Agile methodology.
- You feel comfortable working in an English speaking work environment.
We offer
- Training opportunities - The development of our employees is very important for us. Therefore we offer external and internal training and coaching, as well as free German courses.
- Flexible working hours - By offering home office and flexible working hours, we give our employees the opportunity to make their everyday life efficient.
- Employee discounts - Our employees can benefit from a 40% discount on OUTFITTERY products as well as various discounts via our partner portal Corporate Benefits.
- Health - We like sports - do you? To promote health and well-being of our colleagues we offer in-house (offline) sport activities such as Yoga and Kicker Tournaments. Besides, we offer corporate health days on a yearly basis together with our partner TK. On top, we are proud to have a dedicated Mental Health coach in our team who supports on professional and personal matters.
Intrigued? Then send us your application with your salary expectations and possible starting date. Your contact person is Christian Richter