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Data Analyst for Artificial Intelligence (f/m/d)

Job Description

Rethinking IT.

There are almost endless opportunities how to successfully drive digitalization in companies. For example, with open cloud platforms, highly developed security systems, and clever tools for developers. What is your role in this? Move the world from behind the scenes with your IT expertise and passion for game-changing information technology. Rethink IT and steer projects in completely new directions. Be bold when others would have given up. In short, play a key role in driving digitalization forward! We’ll provide the resources you need to do this. We also offer a variety of opportunities to get involved and to be part of a global network of IT experts and professionals. Welcome to our world! 

Looking for your next big challenge? We might be able to help you.

We are looking for a savvy Artificial Intelligence Specialist to join our iRAM-Service team of analytics experts. You will be responsible for expanding and optimizing our AI solution. The ideal candidate is an experienced data analyst who enjoys optimizing data analysis and machine learning and applies best practices to generate the highest value of the IT Service data. The Data Analyst will work together with our ETL developers, Report specialists and data architect. The candidate must be self-directed and comfortable supporting the solutions needs of multiple Siemens’ business partners, systems and services. The right candidate will be excited by the prospect of optimizing or even re-designing our AI environment to support our next generation of services and data initiatives. 

We make real what matters. This is your role.
  • Design architecture: Evaluate and Design architecture for providing an environment for data analytics: components, non-functional requirements, access rights, possibility to visualize results,
  • Implementation: Setup the environment as designed including interfaces, storage, permission, front end, etc.
  • Establish and operate an AI (Artificial Intelligence) work environment in collaboration with the iRAM team.

Use Cases:
  • In order to resolve incidents of Siemens employees faster and more satisfying we train our model to identify the best possible resolver group which can resolve the incident in the fasted and best possible manner. The target is to train a model which can understand meta data and content of an incident to make this decision.
  • Currently we are in phase where clients of Siemens employees get migrated from one provider to another. Failed migrations need to be analyzed, pattern identified and future migrations should be influenced in way that the overall success rate increases constantly and significantly.
  • Trends in incidents and problems need to be understood in a way that possible bigger problems and major incidents are predicted and mitigation measure can be taken in order to prevent more damage.

Goal:
  • Prescriptive data: forward-looking (future predictions, what will happen) 

Use your skills to move the world forward.
  • Successfully completed university degree in Computer Science, Statistics, Informatics, Information Systems, or another comparable quantitative field
  • Long-term relevant working experience in a Data Analyst role
  • Advanced knowledge in creating designs and solutions for data analytics
  • Advanced SQL knowledge (Current solution based on MS SQL Server 2016) and experienced working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Strong analytic skills related to working with unstructured datasets
  • A successful history of manipulating, processing and extracting value from large distributed datasets
  • Strong project management and organizational skills
  • Experience supporting and working with cross-functional global teams in a dynamic environment (Experience with scrum methodology is a plus)
  • Good communication and presentation skills on expert level
  • Willingness to travel
  • Business fluent English language skills, preferably also good German skills

You should also have experience using the following software/tools:
  • Experience with relational SQL and NoSQL databases, including SQL Server 2016, SAP HANA
  • Experience with data pipeline and workflow management tools: Pentaho DI
  • Experience with cloud services: AWS (EC2, EMR, S3, Athena), Azure related technologies
  • Nice to Have: Experience with stream-processing and real-time capturing systems: SPLUNK
  • Nice to Have: Experience with object-oriented/object function scripting languages: Python, Java, R etc.

What we have to offer:

A flexible home office and schedule policy, virtual budget to improve your home office setup, health insurance, a Pension Plan and a Siemens Share Program time and financial support to your studies, medical center in the facilities, sport groups, 2 days for volunteering initiatives and a cool and relaxed environment.

Access to e-learning platforms (Learnlight, Linkedin Learning and more), discounts with partners.

#Siemens #LXTechHub #ITMakesUsMove

We recognize that building a diverse workforce is crucial to the success of our business. Therefore, Siemens provides equal employment opportunities to all qualified individuals without regard to race, creed, color, religion, national origin, age, gender, marital status, sexual orientation, or non-disqualifying physical or mental handicap or disability.

We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss workplace adjustments with all our applicants to develop agile working and innovation.

Organization: Information Technology

Company: Siemens S.A.

Experience Level: Experienced Professional

Job Type: Full-time

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