Data Analyst – SCAYLE (m/f/d)

  • Vollzeit
  • Hamburg

Webseite ABOUT YOU

SCAYLE is the B2B division of ABOUT YOU Holding SE and enables brands and retailers to build up an international D2C business with three service components: commerce technology, online marketing, and commerce operations. Leading brands like Marc , , The Founded, or are already SCAYLE customers. By now, the SCAYLE Commerce Engine powers 100 online shops in 26 European countries. SCAYLE employs 400 people at its location in Hamburg. The managing directors are Tarek Müller, Sebastian Betz, and Hannes Wiese.

All about data analysing to enhance the market value.

As the Marketing Intelligence team we ensure quantitative analyses around our channels, our attribution and marketing mix models as well as our reporting across all channels. In close collaboration with the Marketing Technology team we evaluate all our gathered data. Together with the Performance and Brand Teams we also aim at the current growth and development of our brand.

As Data Analyst – SCAYLE (m/f/d) you’ll be responsible for quantitative analyzes themes from our entire range of tasks.


  • Creation and development of automated reports dashboards for both the marketing channels the shop unit
  • Conduction of complex analyzes for the optimization of our performance as well as various ad hoc evaluations
  • Preparation presentation of the results of the analyzes
  • Linking use of data from tracking systems other reporting sources
  • Development of a comprehensive understanding of the customer journey / conversion funnel of our customers


  • outstanding degree in an analytical field of studies, e.g. economics or statistics
  • At least two years of practical experience in an analytical environment, preferably in an or in the field of e-commerce
  • Previous experience in using analytics tools, especially Google Analytics, as well as SQL
  • Knowledge of R or Python is a plus
  • Safe handling of MS Office, especially Excel
  • Strong analytical skills and fun with handling numbers
  • Ability to easily grasp processes, to analyze and to communicate clearly

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