Alternance - Data Analyst H/F

Job description

Solvay is a science company whose technologies bring benefits to many aspects of daily life. With more than 24,100 employees in 64 countries, Solvay bonds people, ideas and elements to reinvent progress. The Group seeks to create sustainable shared value for all, notably through its Solvay One Planet plan crafted around three pillars: protecting the climate, preserving resources and fostering better life. The Group’s innovative solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices, health care applications, water and air purification systems. Founded in 1863, Solvay today ranks among the world’s top three companies for the vast majority of its activities and delivered net sales of €10.2 billion in 2019. Solvay is listed on Euronext Brussels (SOLB) and Paris and in the United States, where its shares (SOLVY) are traded through a Level I ADR program. Solvay Busines Services (SBS) is the global organization supporting internal and external growth by integrating the major end-to-end administrative processes as well as the information services of the Solvay Group, through three strategic objectives: strategic agility and customer centricity, service excellence and talents and innovation.

Job Overview and Responsibilities:

Au sein du Solvay Business Services IS Infrastructure, vous aurez comme missions :

- Collecter, organiser, étudier et synthétiser les données brutes quantitatives et qualitatives issues de diverses applications (inventaires, incidents, utilisation etc) ;
- Effectuer des analyses de données pour connaître les besoins des utilisateurs internes ;
- Définir une modélisation statistique permettant de répondre aux problématiques IS infrastructure d’optimisation de ses services ;
- Mettre en oeuvre les modèles statistiques en fonction des actions prioritaires ;
- Maintenir une documentation technique.

Education and Experience:

-Ecole Supérieure de Commerce / Ecole d'ingénieurs
-Master 1 ou 2 en Mathématiques appliquées, statistique, Informatique, science des données.

Skills:

Comportementales:

Esprit d’analyse et de synthèse Créatif vous avez le sens de l’innovation Gestion de projets Travail en équipe

Techniques:
Python ou R et sql Dataku ou R studio ou Jupyter Hadoop ou spark ou Google bigQuery Google suite Connaissances du domaine des services IS Technologies de l’Information

Langue: Anglais IMPERATIF : courant / bilingue

Additional Information

Localisation  : Etoile Part Dieu, 190 avenue thiers 69006 (accessible en métro, tram, bus / proximité Gare Part Dieu)