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2 jobs found in gütersloh

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Arvato Supply Chain Solutions SE – Central Functions
16/04/2022
Full time
IT-Trainee - Data Analytics & Infrastructure (m/w/x)
Arvato Supply Chain Solutions SE – Central Functions Gütersloh, Germany
Full job description Shape the world of supply chain management! In addition to classic logistics services, Arvato Supply Chain Solutions develops and operates complex global supply chains, e-commerce and IT platforms as well as digital distribution models.   We continue to grow and already work with more than 16,000 dedicated colleagues with passion and distinctive service provider DNA at 85 locations in over 20 countries. As an   IT Trainee - Data Analytics & Infrastructure (m/f/x)   you will become part of our new   ASPIRE trainee program   and get to   know our complex and highly modern IT processes   at our location in   Gütersloh from October   1st , 2022.   During your 18-month trainee program, you will have the opportunity, among other things, to gain in-depth insights into the areas of analytics consulting and data engineering & platforms as well as IT security and IT architecture through changing stations.   Develop yourself professionally and...
Miele
13/04/2022
Full time
Data Analyst Connected Coffee Appliances m|w|d
Miele Gütersloh, Germany
Full job description Business Unit Small Domestic Appliances Your task Proactive identification and specification of relevant data analytics issues (transfer of business requirements to analytics solutions) Conception, creation and evaluation of data analytics solutions, e.g. in the form of interactive dashboards and specific analyses Preparation and provision of data-driven findings in the field of networked devices in order to systematically support decision-makers and executives in answering business-relevant questions Planning and implementation of extensive tasks, including selection of suitable methods and tools Documentation, evaluation, interpretation and target group-oriented presentation of analysis results your profile Successfully completed studies in data science, (business) informatics, natural sciences with a statistical focus or comparable courses or relevant professional experience in industry Several years of...
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