Data Analyst (m/f/d)

Deutsche Post DHL Group is the world's leading postal and logistics service provider. As one of the largest employers in the world in over 220 countries and territories, we see the world with other eyes. With our service, quality and sustainability-oriented network, we connect people around the world and improve their quality of life. This applies not only to our customers, but also to each individual member of our team. Our network control team ensures that one of Europe's largest logistics networks works reliably, and Data Analytics plays a central role. We combine operational expertise with data-driven methods to continuously optimize sorting processes, transport requirements and production processes. Together with many specialist areas, we develop models, dashboards and analyses that are used directly in daily control. We're looking for dedicated backup. Data Analyst (m/w/d) Bonn Post & Paket Deutschland, Deutsche Post AG/DHL Service Branch Post & Package Germany Type of employment: unlimited JobID: 332657

Your tasks: Quantitative analysis of broadcast streams in the packet network based on large data volumes Further development of predictive analytics models to predict package quantities and transport needs – in close cooperation with users and experts Measurement, monitoring and optimization of model performance and further development of suitable KPIs Development and conception and implementation of visual analytics applications to control operational processes Your profile: Complete university studies with a quantitative focus, for example in the fields of computer science, mathematics, statistics, economics or data science First professional experience in analyzing large volumes of data Good knowledge of programming languages (especially python) and tools such as Git required Good knowledge required in relational databases (SQL), ideally snowflake Experiences with Visual Analytics tools, especially PowerBI or Tableau Ideal experience with Docker/Kubernetes/Kubeflow German (at least C1 level) and English (at least B2 level) in word and writing Analytical and conceptual skills Organised and structured work Rapid opinion Very good communication and presentation skills Safe and sovereign appearance at all levels Our offer to you: A workplace in a stable and system-relevant DAX company Flexible working hours (38,5 hours per week) with possibility for mobile work Extensive training opportunities Benefits in kind Leasing of e-bikes as a job bike Jobticket at Bonn location A variety of employee offers about corporate benefits We look forward to your application! Apply now with your complete documents (letter, resume, testimonials) and specifying your salary presentation about the Applicant button. Questions will be answered by Mr. Niklas von Öhsen by e-mail: niklas.vonoehsen@deutschepost.de or Tel. +49 173 3528199. I'm sorry.

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