6 meilleures offres (python, vaud) (à pourvoir)

Data Analyst / Data Specialist (M/F)
Sword Services —Nyon, VD
- 100%
- Travail hybride
- Microsoft Excel
- Analyse de données
- Anglais
Postuler rapidement
20 h
Platform Engineer
Swiss Post Cybersecurity —Morges, VD
- Heures supplémentaires
- Bar
- Anglais
- Scripting
- Aide au transport
19 h
Senior Automotive Vehicle Solution Owner
Neural Concept —Lausanne, VD
- 100%
- Travail hybride
- CAD
- Python
- Marketing
Aerodynamic Engineer
Harmattan AI —Lausanne, VD
- 100%
- Niveau Master
- Niveau Licence
- Scripting
il y a 1 jour
P2621 – (Senior) Pharmacometrician
Debiopharm —Lausanne, VD
- Niveau Doctorat
- Anglais
- Sens de l'organisation
il y a 8 jours
Head of Finance
Adaptyv —Lausanne, VD
- 100%
- Travail hybride
- Droit du travail et de l'emploi
- SQL
- Nettoyage
il y a 1 jour

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Data Analyst / Data Specialist (M/F)

Sword Services -
Nyon, VD

Postuler rapidement

Détails de l'emploi

100%
Il y a 20 heures

Qualifications

Français
Microsoft Excel
R
Analyse de données
Anglais
Recherche
Microsoft Office
Niveau Master
SQL
SPSS
Python
Allemand

Description complète du poste

We are opening a position for a Data Analyst / Data Specialist (M/F) to strengthen a team committed to a high-level medical research program, based in Nyon. This role is part of a multidisciplinary environment combining data, science, and health, with a focus on structuring and advanced data exploitation in a demanding and evolving context.

Position Responsibilities

Analyze and exploit structured datasets, including longitudinal and potentially medical or sports data
Participate in structuring, validating, and documenting data (rules, definitions, quality)
Contribute to analytical projects related to research and innovation activities
Identify methodological limitations and propose improvements in data usage
Collaborate with non-technical stakeholders to popularize analytical issues and results
Intervene in the development and improvement of platforms or tools related to data management
Monitor multiple projects in parallel with an organized and rigorous approach
Gradually support activities as an autonomous reference on data issues

Degree in data science, statistics, computer science, or equivalent field
Minimum of 5 years of professional experience in data analysis, data management, or research support
Good understanding of complex data (health, sports, or longitudinal data is an asset)
Developed analytical mindset with the ability to assess data quality and relevance
Proficiency in at least one analytical language or tool (R, Python, SQL, SPSS, or equivalent)
Comfortable with Microsoft office tools, especially Excel
Ability to work in a team while gradually gaining autonomy
Proficiency in written and spoken English (French and/or German is an advantage)

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