Data Consultant (Life Sciences)
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Hele Danmark
NNIT is one of the world’s leading consultancies, for the past twenty years serving the Life Science industry around the globe. We apply the latest advances in technology - such as IoT, AI, Virtual Reality, Augmented Reality, Data Analytics - to make Quality Assurance, Regulatory Affairs, Clinical, Pharma Production and Laboratory processes more effective and efficient for our clients.
We are currently seeking a Data Consultant to join our team in Europe (preferably located in Denmark, Switzerland, Germany, or Czech Republic).
In the Life Science Technology area, we have a passion for helping our customers with their data. We assess and improve the quality, migrate data, establish data platforms, build data pipelines, apply machine learning (ML) algorithms and we advise our clients on data governance.
Our clients value our services, which gives us opportunities to provide them with more support. Therefore, we are growing our team and we are looking for young, international and passionate people, who would like to grow their careers within NNIT and be part of the successful team.
Are you passionate about data, and interested in how it can transform decision making?
Do you have consulting mindset and an outgoing personality?
Do you enjoy working both, individually and in a team?
If you say “yes”, we would be excited to meet you.
What else you will be responsible for?
In your new role you will be working in projects for international clients in Regulatory Affairs, Pharmacovigilance, Clinical, and other Lines of Business in the Life Science space.
Your main responsibilities are to advise our clients, participate in data assessments and data migrations also as part of larger transformation projects, applying the NNIT data methodology framework. In these projects you will usually work with other data consultants and specialists from the Life Science Technology area. Travel can be required for some projects.
Depending on in where your passion for data lies, you will be looking into a career path towards data engineer, data analyst or data scientist.
To be successful in this role, you need to have the below skillset:
Ideally you come from a consultancy firm and have an understanding of regulated industries, preferably Life Science.
As our clients are international, proficiency in other European languages besides English is appreciated (Danish, German and French).
Technical skills are also regarded as a plus in the application, especially
We are currently seeking a Data Consultant to join our team in Europe (preferably located in Denmark, Switzerland, Germany, or Czech Republic).
In the Life Science Technology area, we have a passion for helping our customers with their data. We assess and improve the quality, migrate data, establish data platforms, build data pipelines, apply machine learning (ML) algorithms and we advise our clients on data governance.
Our clients value our services, which gives us opportunities to provide them with more support. Therefore, we are growing our team and we are looking for young, international and passionate people, who would like to grow their careers within NNIT and be part of the successful team.
Are you passionate about data, and interested in how it can transform decision making?
Do you have consulting mindset and an outgoing personality?
Do you enjoy working both, individually and in a team?
If you say “yes”, we would be excited to meet you.
What else you will be responsible for?
In your new role you will be working in projects for international clients in Regulatory Affairs, Pharmacovigilance, Clinical, and other Lines of Business in the Life Science space.
Your main responsibilities are to advise our clients, participate in data assessments and data migrations also as part of larger transformation projects, applying the NNIT data methodology framework. In these projects you will usually work with other data consultants and specialists from the Life Science Technology area. Travel can be required for some projects.
Depending on in where your passion for data lies, you will be looking into a career path towards data engineer, data analyst or data scientist.
To be successful in this role, you need to have the below skillset:
- Higher education in IT, Engineering, Life Science or Business
- Proficient in English written and orally
- Experience in working with SQL
- Outgoing personality
- Consulting mindset
Ideally you come from a consultancy firm and have an understanding of regulated industries, preferably Life Science.
As our clients are international, proficiency in other European languages besides English is appreciated (Danish, German and French).
Technical skills are also regarded as a plus in the application, especially
- Skills in Python, R or Java (or other relevant languages)
- Experience in working with databases (Oracle, MySQL, MongoDB)
- Experience with AWS/Azure services
- Experience in Informatica or PowerBI
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Hele Danmark
Jobbet er oprettet på vores service den 18.11.2020, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- Søndag den 06. december 2020
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Statistik over udbudte jobs som data managere i Hele Danmark
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Statistik over udbudte data managere i Hele Danmark over tid
Dato | Alle jobs som data managere |
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25. december 2024 | 130 |
24. december 2024 | 128 |
23. december 2024 | 126 |
22. december 2024 | 125 |
21. december 2024 | 124 |
20. december 2024 | 123 |
19. december 2024 | 118 |
18. december 2024 | 114 |
17. december 2024 | 107 |
16. december 2024 | 107 |
15. december 2024 | 104 |
14. december 2024 | 100 |
13. december 2024 | 111 |
12. december 2024 | 93 |
11. december 2024 | 97 |
10. december 2024 | 100 |
9. december 2024 | 99 |
8. december 2024 | 106 |
7. december 2024 | 107 |
6. december 2024 | 110 |
5. december 2024 | 106 |
4. december 2024 | 105 |
3. december 2024 | 113 |
2. december 2024 | 112 |
1. december 2024 | 116 |
30. november 2024 | 120 |
29. november 2024 | 120 |
28. november 2024 | 121 |
27. november 2024 | 121 |
26. november 2024 | 119 |
25. november 2024 | 115 |