Nous recherchons un(e) stagiaire pour l'équipe Data afin de participer à l'intégration de nos différentes sources de données.

Les missions principales :

• Industrialisation de différents projets pour séréniser les développements futurs 
• Manipulation de données sur des bases types SQL et Mongo

Contrat : Stage de 6 mois

Localisation : Paris 10ème

#LI-DAIM

Our Benefits

• Flexible working environment
• Health insurance
• Parental leave
• Life assurance

About NielsenIQ

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.

Learn more at: www.niq.com

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Our commitment to Diversity, Equity, and Inclusion

NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.

Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/

• Bac + 3 à Bac +5 dans une filière IT en spécialisation data
• Tu as une bonne connaissance et utilisation récente (stages/projets) de Python 
• Tu connais Pandas et l'utilises régulièrement
• Tu sais faire des tests unitaires
• Les techno web (django ou flask) sont un plus
• Tu es méthodique et rigoureux (euse)
• Tu es enthousiaste, autonome et polyvalent(e)
• Tu as un bon niveau en anglais