Company description
DOUGLAS is Europe’s leading omnichannel beauty destination. We inspire customers to live their own kind of beauty by offering an unparalleled assortment in online stores, via a partner program and in around 1,840 stores. Strengthening our successful omnichannel positioning while consistently developing the customer experience is at the heart of our strategy. In its fiscal year 2021/22, DOUGLAS generated sales of 3.65 billion euros in perfume, decorative cosmetic, skin and hair care, nutritional supplements, health care and accessories.
YOUR working environment
FOR OUR HEADQUARTERS IN DÜSSELDORF WE ARE CURRENTLY LOOKING FOR YOU AS
TASKS WITH IMPACT - You are passionate about supporting important business decisions related to performance marketing, eCommerce and omnichannel topics with your analyzes and recommendations for action
- Your data stack: (R/Python, Snowflake, Docker, Tableau, Adobe Analytics, Google Analytics)You translate recurring inquiries into data products so that they can be used by the specialist departments in self-service.
- You are interested in further developing advanced analytics topics such as forecasting, attribution and marketing mix modelling
- As a sparring partner, you support both the specialist departments and other analysts in HQ and in our national and subsidiary companies with your expertise
YOUR SKILLS - 2 -3 years of experience in the analysis of heterogeneous data, preferably from the digital environment (eCommerce shops, apps, performance marketing, etc.)
- Advanced SQL and R or Python knowledge
- Good understanding of statistical methods
- Initial experience with time series and their modelling, as well as multivariate analysis methods (e.g. regressions or ML) and causal analysis methods. Experience with topics such as forecasting, attribution and marketing mix modeling is a plus.
- First experience in dealing with a modern data stack (R/Python, Snowflake/Azure/Big Query, Docker, Tableau, etc.)
- You are able to translate business questions into data questions
- Completed degree in statistics, mathematics, economics, IT, or similar or relevant professional experience in a comparable environment
- You can visualize your analysis results in such a way that your stakeholders understand them and, if necessary, translate them into data products for self-service
- Good English knowledge
OUR BENEFITS FOR YOU
We want you to feel comfortable at your job. That’s why you’ll receive your own individual work equipment.
- ️ MacOS, Linux oder Windows. Your choice!
Your personal development: We want you to grow with us. Become part of our mentoring program, make use of our E-learning platforms and take advantage of many more individual development offers.
30 days of vacation per year
You like a hybrid working model? We offer a balance between mobile work and office days in a collaborative environment.
Super Sale: Our employee discount for both online and in store is the cherry on the top. Not enough? More discount opportunities are available to you thanks to our corporate benefits.
️ You like fitness? Great! Then our gym pass is just right for you.
Canteen & bistro, as well as free drinks
A positive and motivating environment & celebration of successes
✨ Company events
Contact
Could be a match?
Then become part of our international company and apply, stating your salary expectations and possible starting date.
We can't wait to meet you!
As an international employer, we stand for equal opportunities and diversity. Therefore, we welcome applications from mothers, fathers, people with disabilities and people from the LGBTQIA+ community. Please let us know if, for example, we should use a gender-neutral pronoun, if you need barrier-free access to our offices or if you want us to allow more time for the application process.
Job Reference:
00400248... [Vollständig anzeigen]