Position: Associate

Job type: Full-time

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Job content

Sehr geehrte Damen und Herren,

für meinen Kunden aus der Pharmabranche in der Schweiz suche ich eine/n Data Engineer/ Analyst (w/m/d).

Startdatum:01.05.23

Laufzeit: 31.05.2024

Einsatzort: Rotkreuz (Schweiz)

Auslastung: 40 Stunden pro Woche

Arbeitsmodell:3 Tage vor Ort, 2 Tage remote

Projektbeschreibung:

For newly established Blood Gas Sensor production line the client is looking for a passionate Data Engineer/Analyst to turn data into information, information into insight and insight into business decisions in close collaboration with their production specialists.

As Data Engineer/Analyst you will provide scientific data support for their highly automated production. Your experience, analytical approach, know-how and visualization skills will be crucial for identifying process improvements to ensure a stable manufacturing yield and an outstanding customer experience. You will be part of data analytics team and will work in a dynamic environment at the pulse of client’s digital journey.

Ihre Aufgaben:

  • Develop and implement data collection systems and develop a monitoring system to support the production teams to strategically steer and continuously improve quality improvement initiatives
  • Acquire data from primary and secondary (internal and external) sources and maintain a data warehouse. Optimize statistical efficiency and data quality in close collaboration with the production Teams
  • Provide statistical knowhow for the establishment, maintaining and continuously improving the processes in close collaboration with engineering specialists

Das sollten Sie mitbringen:

  • Minimum a Bachelor’s Degree preferably in Computer Science or Data Science, or Statistics, Mathematics (****)
  • At least 2 years working experience as a Data Engineer (****)
  • Advanced programming skills (R, Shiny, SQL, Python, git) (****)
  • Technical skills with data models, database design, data mining and segmentation techniques and experience using statistical packages (****)
  • English fluent in written and spoken is mandatory, German is a strong advantage
  • Strong communicator with Interfaces experience
  • Strong analytical skills with the ability to collect, analyze and disseminate significant amounts of information with attention to detail and accuracy in big data sets
  • You are someone who wants to influence your own development
  • You have a passion for extracting conclusions out of big data sets and transform it into fact-based decisions in an In-vitro Diagnostics production/operations environment
  • Ability to be proactive and take responsibility

Nice to Have:

  • Experience with Cloud-based solutions (e.g. AWS, Snowflake) (**)
  • DataOps.Live
  • Data Mesh
  • Data Vault 2.0
  • Supply Chain and SAP data extraction knowledge

Bei Interesse, senden Sie mir bitte Ihrenaktuellen Lebenslauf mit frühestmöglichem Startdatum zu.Ich werde mich nach Sichtung bei Ihnen melden.

Ich freue mich auf Ihre Rückmeldung und bedanke mich im Voraus.

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Deadline: 23-05-2024

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