Data Analyst

Main tasks :

• Understanding business needs: Collaborate with the Product Owner (PO) and business teams to understand use cases and prioritize the User Stories backlog according to business value.
• Communication with technical teams: Translate business requirements into clear specifications for data architects and data engineers.
• Data modeling: Participate in data modeling to ensure consistency between business requirements and data structure. Ensure data availability and reliability in the various tools (GCP, Spotfire, etc.)
• Reliability-Serial Life: Ensure ongoing data availability and reliability by working jointly with data engineers, PO/PLs and business units.
• Complex data analysis: Examine complex data sets to provide insights and precise recommendations to the business, challenging and reframing their requests where necessary.
• Documentation and support: Write functional documentation and user support, in particular through incident analysis.
• Training and support: Ensure training and acculturation of teams (users, Key Users, Product Leaders, etc.) and support the business to better understand their data.
• Suggest improvements: Suggest improvements to data structuring, modeling and process optimization.

Skills required:

• Proficiency in Cloud GCP, BigQuery, GitLab. SQL, JSON, Airflow and knowledge of data visualization tools (Spotfire, Looker, ...) would be a plus
• Knowledge of the agile methods of JIRA/Confluence tools
• Strong skills in data analysis and interpretation of results, with an optimization-oriented approach.
• Interpersonal skills: autonomy, rigor, ability to lead cross-functional sessions.
• Ability to work in a multicultural environment - France, Romania, India
• Ability to explain technical subjects to a non-technical audience.
• Fluent English

Training and experience :

• A minimum of 3 years' experience as a Data Analyst is required.