Thales Alenia Space people architect and deliver satellite-based systems that help position, connect and observe our planet, and push the boundaries of our understanding of planet's resources. Our systems are in orbit at 400 km, 20000 km, 36000 km and beyond to the edges of the solar system.
**WHO ARE WE?**:
Thales Alenia Space delivers cost-effective solutions for telecommunications, navigation, Earth observation, environmental management, exploration, science and orbital infrastructures. A joint-venture between Thales (67%) and Leonardo (33%), Thales Alenia Space also teams up with Telespazio to form the parent companies' Space Alliance, which offers a complete range of services.
We are looking for a Data Analyst (H/F) will join the "Software Factory & BigData team" on Information System department.
**WHO ARE YOU?**:
You are a mathematician, phisics, computer engineer, you have acquired skills in technologies, software and computer languages of databases and "business intelligence" such as:
- Data Visualization (Kibana, Power Bi, Grafana, Python),
- Data collection and transformation (Logstash, Dataiku, Nifi,)
- Relational and non-relational data management (Elasticsearch, mongodb, InfluxDB, S3, PostgreSQL),
Are you recognized for your curiosity, your team spirit, your proactivity, your analytical skills coupled with a good spirit of synthesis, you are autonomous and you like challenges and new technologies?
Are you fluent in English? Then this position is for you
**WHAT WE CAN ACCOMPLISH TOGETHER**:
Within the Information Systems Department, which provides solutions to more than 12,000 users in 8 countries, the "Software Factory & BigData" department assists and supports the business departments in their digital transformation.
By joining us, you will be entrusted with the following missions:
- Analyze the data exploitation needs of our "customers", and choose the most appropriate technical solutions
- Participate in the continuous improvement of our private bigdata platform,
- In the form of technology watch, realization of "Proof of Concept", and new project initiatives.
- Develop or help to set up data exploitation:
- collection, formatting and filtering of data to feed the data-lake, or even the creation of specific connectors,
- secure access to data,
- creation of dashboards,
- deployment of the solution to make these services accessible to all customers on different sites.
Supported by the Bigdata team, and in close collaboration with the digital competence center and Thales data scientists, you will be required to conduct and manage end-to-end data enhancement requests.