THE FUTURE LOOKS LIKE YOU

With over 1,300 stores in 17 European countries and more than 25,000 employees, C&A is one of Europe’s leading fashion retailers. Every day, C&A welcomes millions of visitors to its stores in Europe and to its online shop. C&A offers quality and long-lasting fashion at affordable prices for
the many. We are building on more than 180 years of experience in the fashion industry and continuously modernize the company to become an omnichannel fashion retailer.
The logistic analytic team builds analytics solutions and generates insights for the Logistic teams. They are responsible for (1) developing and implementing business reporting, (2) defining and implementing key performance indicators, (3) carrying out complex analysis and generating insights to support key business decisions. In this role you will play an instrumental part in C&A’s whole logistic process and contribute to the overall success of the company.
At C&A we are driven by our values and we believe that affordable and high-quality fashion is not contradictory to caring for people & the planet, we are always forward thinking and acting to develop our business and innovate the industry. This is your chance to join the C&A team as Senior Logistics Analytics Specialist.

• Design and implement business reporting / dashboard for the Logistic teams to support business strategy and day-to-day operations.
• Provide day-to-day operation-level data & analysis support to operation team across Logistic organization (CCDCC, DC, SEAS, Transportation) so as to improve operational efficiency in terms of lead time, forecast, capacity, cost and etc.
• Carry out complex analysis to support business decisions (e.g. Network design, DC locations, etc.;)
• Collaborate with Data Warehouse team (DaWaCa) to create robust and scalable data infrastructure to retrieve and analyze data. Provide one single source of truth for Logistic data.
• Define, recommend, and implement new key performance indicators (e.g. forecast accuracy)
• Scope and create user friendly and actionable dashboards to provide visibility and insight.
• Collaborate with IT on Data Strategy Project.
• Develop an in-depth understanding of complex logistics data and processes.