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Commercial Data Architect & Process Automation


A career at our company is an ongoing journey of discovery: our 58,000 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.


Your role: 


In this context, you would join the Sales Enablement team which is an essential part of the Commercial EMEA Organization within Life Science. As a Data Architect you will work in close collaboration with our Commercial Leadership teams, IT and Process Excellence translating business requirements into structured solutions and AI technology. You are passionate about data-driven innovation, showcasing its potential and how this can be translated into tangible business value. In addition, you will ensure in-time delivery of process automation / improvement solutions and in detail documented business processes (as-is and to-be) within our Sales Enablement Team. Specific responsibilities include: Create concepts and define data landscape / architecture to transform data to insights for our commercial organization to increase salesforce effectiveness; Develop analytical solutions in SAP BI, Tableau and Palantir / Big Data environment; Work directly with Commercial Management to elaborate data analytic topics; Usage of predictive analytics methods to support the development of fact driven management strategies; Execute / drive projects as needed to deliver process improvements; Collaborate across organization to brainstorm and find efficient ways to tackle technical, infrastructure, security, or development problems.


Who you are: 


- Master's degree in Statistics, Data Analytics, Computer Science or related field.

- Proficient in MS Office, SAP Business Objects, Tableau, CRM (, Palantir or similar

- Proficient in SQL, Python, PYSpark, VBA

- Exposure to PHP and front-end design would be a plus

- Profound knowledge in relational and file-based database design

- Advanced proficiency in Excel functions such as complex formulas, macros, Power Pivots

- Proficient working with extracting, formatting, validating and analyzing large data sets

- Experience using big data analytics applications and programs such as R preferred

- Business acumen and supportive mindset

- Previous experience in sales is a real plus

- Ability to thrive in a complex matrix environment

- Experience in the life science, pharmaceutical or biotech industry preferred

- A sound knowledge of written and spoken English


Location: This role can be placed in Italy (Milan), Germany (Darmstadt), France (Molsheim)


What we offer:  With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!


Curious? Apply and find more information at


We are committed to promoting a diverse and inclusive workforce. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.


Job Requisition ID:  232437
Location:  Milano
Career Level:  C - Professional (1-3 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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