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14 May 2019

Full-timeData-Analyst /Data-Scientist (m/f/d)

Schwaebischmedia Anywhere

Job Description

We are looking for you as soon as possible in Ravensburg.
Analyzing data means fun to you? In cooperation with our team of Data-Analysts and specialists of data warehousing, you will generate sucessfull practibale and realisable knowledge.
Schwäbisch Media is attached to their region, dedicated and inspiring. As an employer we offer attractive and safe jobs. Furthermore we give versatility career possibilities. The diversity of our industry, the passion for modern media, the enthusiasm for the region and its people, constitute working at Schwäbisch Media.

Position requirements:
•Integration of existing databases and preparatory steps of data analysis (data acquisition, data cleansing, …)
•Multivariate analysis of structured, semi-structured and unstructured mass data (especially data mining)
• Validation and plausibility check of the results as well as the interpretation of those results with the departments and visualization of those
• Monitoring and recalibration of the developed models

Your qualification:
•Degree in computer science or comparable field of study
•Comprehensive experience in data analytics (advanced analytics, predictive analytics, statistical analysis, …) and preparatory processes
• Experience with databases and in the construction and integration of analysis-oriented applications (SQL, NoSQL)
• Knowledge in common analysis software Python, KNIME, Apache Spark and NoSQL databases (eg Cassandra) is an advantage
• Experience with databases and in the construction as well as the integration of analysis-oriented applications
• Good German skills (company language: German)

We offer:
• Active promotion of your personal and professional development
• Full-time job in a sympathetic team and an exciting work environment
• Modern, attractive workplace in middle of Ravensburg with very good connections by public transport (train and bus)

Job Categories: Other Jobs. Job Types: Full-time. Job Tags: big data, data, Data Analyst, and Data Scientist.

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