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SIG Global Reliability Center and cluster Reliability Centers are responsible to turn the data from our machines into insights through our Digital service solutions. This requires data to be collected from multiple sources and consolidated to provide a clear picture about performance of machines and the maintenced carried out in field.
Job Responsibility:
Understand the operating modes of Global and cluster Reliability centers together with the basic operations of the machines
Perform work history analysis and generate reports to the clusters
Assist in the visualization of data collected from various reliability systems
Analyze machine data to identify trends and insights
Create and monitor dashboards for real-time data tracking
Support the daily operational activities of the Global Reliability Centre
Write python scrips to carry out quicker analysis and semi automation of data grabbing
Assist in Netbox updates and data handling
Assist in Digital Assets Monitoring with CheckMK
Requirements:
Currently enrolled in or a recent graduate of a degree program in Engineering, Statistics, or a related field
Strong proficiency in Python programming
Experience with data analytics and visualization tools
Familiarity with Microsoft Azure environments and Network Topology
Competent user of English and German
Nice to have:
Network technology, knowledge of PLC technologies a bonus
Interest in modern technologies (automation frameworks, GitOps, …)
Interest in Infrastructure as Code (we use Ansible, Gitlab, Netbox, Rundeck)
Openness to learn and build competences
What we offer:
Competitive compensation
Opportunity to partially work from home
Part of a globally successful international company
Personal development opportunities, trainings and coaching opportunities from senior team members