(Senior) Developer Planning SAP Analytics & Business Data Cloud (m/w/d)

Did you know that... as a sustainable family business with around 2,000 branches in Germany, Austria and the Netherlands and a multi-annual online shop are one of the largest omnichannel providers in European textile retail? Our clientele is looking forward to an attractive price-performance offer in the areas of clothing and home-food clothing for the whole family. This family thought is also reflected in our daily coexistence: a pronounced sense of communion, communication at eye level as well as a respectful approach make our constantly growing Ernsting's family something very special. You want to help shape the future of Business Analytics? Then you are right with us! In this exciting role you can expect varied and forward-looking projects with the latest technology stack – your contribution counts!

Planning competence: Inspired by system-assisted planning and continuous process improvement, you support the subject area in its data-driven decision by providing future-oriented planning processes and simulation scenarios Planning expertise: From conception to implementation and operation – you develop not only classic planning models, but also modern methods of machine learning to make plan data more precise, consistent and flexible Area-oriented approach: You understand what our expertise needs and ensure real added value with strong communication at decision-making level Eco instead of Ego: Be part of a team that burns for Data & Analytics. We share knowledge, support each other and celebrate success together Your creativity is in demand: Take responsibility for your ideas and drive them forward

A completed degree in Business Administration or Business Informatics Practical experience in the development of planning solutions, ideally with SAP Analytics Cloud or comparable tools such as SAP BW-IP, IBM Planning Analytics Good understanding of data models, flows and transformation logics Technically versed in the use of SQL and ABAP OO for imaging demanding planning logics Business knowledge for processes and data as well as the ability to analyze complex relationships and to communicate them in a targeted and clear manner Curiosity for the diverse processes in trade Active design and implementation of planning governance

Working hours: We live a strong relationship on campus at a 37.5-hour week Financial advantages: holiday and Christmas money, occupational retirement, asset-effective services, corporate benefits, personal discount and bike leasing Feeling factor: 30 vacation days, free gym on campus, modern jobs, several coffee hubs and food spots with fresh menus Family Fun: Interne Events and Activities on the Campus with Boule-Bahn, Padel-Court and Multispielfeld A warm welcome: With structured onboarding, regular feedback talks and individual further development possibilities