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Business Intelligence Specialist
Il y a 2 mois
We are seeking a highly skilled and experienced Business Intelligence Specialist to join our Water Division at SUEZ. As a key member of our team, you will be responsible for developing and implementing a data-driven strategy to drive business growth and improvement.
Key Responsibilities- Organize and lead the Business Intelligence Water team to provide data and BI services to business units in the Water Division, aligning with the company's data governance strategies.
- Structure, animate, and pilot a team of data analysts and engineers to model and provide data on the company's data platforms and produce BI reports.
- Measure service quality by establishing indicators to track service delivery.
- Prioritize requests based on data governance processes and provide data expertise to business units, contributing to the definition of value for each request.
- Supervise the delivery of data objects from the team, ensuring alignment with expressed needs and guaranteeing long-term functionality.
- During the first few months, maintain the existing data platform and associated applications, including:
- Piloting the externalized TMA contract, managing costs in a logic of activity decrease.
- Supervising the definition of a decommissioning roadmap and the transition to a new platform.
- Contributing to user acculturation to data-driven logic and participating in the establishment of data governance and the data roadmap.
- Maintaining department costs and piloting budgets to deliver value at controlled costs.
- Evolution of the team and establishment of a team spirit.
- Confirmed manager with a bac + 5-year engineering degree.
- Mastery of analysis and reporting tools.
- Mastery of SQL (Structured Query Language) and data management fundamentals.
- 5 years of experience in data service management or as a data engineer or data analyst.
- Technical competence in Business Intelligence.
- Professional English.
- Experience in change management, particularly in digital transformation or data.
- Leadership and ability to federate.
- Agile, innovative, and collaborative mindset.
- Analysis and synthesis capabilities.
- Ability to work in a team.
- Listening and openness to unknown functions.
