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Senior Analyst

 

Work Your Magic with us!  

 

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.  

 

Job Title: Manufacturing Data Management Technical Expert

Your Role:

  • We are seeking a highly skilled and experienced expert to facilitate and enable the implementation of the digitalization roadmap specially in the field of manufacturing data connectivity and analytics.

  • Working in a team of data management experts, you will be responsible for design, development, test, documentation and delivery on the business requirements related to manufacturing analytics.
  • You explore digital use cases to expand the scope of solutions across the manufacturing sectors.  In your role you explain and implement the pathway to connect source platforms such as  LIMS, MES, Data Historian, QMS and ERP to analytical platforms such as Statistica,  Discoverant and others in an optimal way. Further you enable manufacturing sites to take maximal advantage of the existing digital infrastructure.  You will also be responsible for operational activities such as

  • troubleshooting different existing workflows, assemble large and complex data sets
    Last not least you will be involved in various IT services management topics like incident Management, problem management, change and release management.

 

Who you are:

  • Since your exam in IT, engineering or natural science, you have collected 7 or more years of solid experience in industrial IT with an emphasis on analytical tools such as STATISTICA or  DISCOVERANT.
  • This role further requires a good understanding of manufacturing data in batch and discrete manufacturing processes. A strong architectural knowledge of information transfer protocols and interfaces on the OT level paired with awareness of the ISA95 concepts is very helpful. Experience working with big data ecosystem like MapReduce, Hive, Spark, Oozie, Kafka and any NoSQL databases is a plus.  
  • You work highly independently on the basis of business objectives and guidelines. You know to act and react in international corporate environments with multiple service teams and stakeholders. A very strong service orientation paired with a strong sense of responsibility and ownership is close to your character.  You may explain in excellent English language what you do, how you do it and why you do it to a larger audience of stakeholders and managers.
  • (Keywords: MES, Data Historian, Pas-X, Aveva PI, data analytics, data integration, middleware, interface

 

 

 

 

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

 

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

 

Job Requisition ID:  294218
Location:  Bangalore
Career Level:  D - Professional (4-9 years)
Working time model:  Full-time

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our Candidate Services team at 844-655-6466 from 8:00am to 5:30pm ET Monday through Friday. If you are a resident of a Connecticut or Colorado, you are eligible to receive additional information about the compensation and benefits, which we will provide upon request.  You may contact 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday, for assistance.

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Job Segment: ERP, Middleware, Technology

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