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CACI (Credit Agricole Creditor Insurance) is the Credit Agricole Assurances Group subsidiary specialising in creditor protection insurance (CPI).
At CACI, data drives our decision-making process. The Data Management Team is involved in all strategic projects to allow the business units (like the actuarial department or the development teams) to reach their objectives.
The Data Quality Management team is responsible for managing and implementing data-related business projects and processes for the whole organisation.
As part of the team, the VIE Data Analyst will act as an SME and actively contribute to the evolution of Business Intelligence and Analytics to enable smart, secure, and reliable practices across the organisation.
Working with the members of the Data Quality Management team and external resources, the VIE Data Analyst will identify and develop areas of improvement for the final customers as well as business teams.
The role involves engagement with all business departments and understanding of operating environments and constraints. The VIE Data Analyst will be required to work as part of the team responsible for:
1. Identifying, building, and delivering relevant metrics, reports, and dashboards through projects
2. Being a point of contact for best data/insights practices
3. Coordinating resources on the development of new analysis models and frameworks
4. Delivering on business use cases as the company data strategy is developed further
5. Measuring ROI/Impacts and communicating changes made, turning results into management information
6. Providing insights and ideas to senior management to shape services and operations
7. Continuously communicating and promoting analytical and data visualisation innovation
DUTIES AND RESPONSIBILITIES
1. Business Requirement Management
Systematically capture business requirements
Manage business users' expectations by reviewing priorities with management
Facilitate the formalisation of requirements working in cooperation with business departments
2. Development of Business Reports / Dashboards
Based on functional requirements and with the help of technical experts, produce technical specifications
Coordinate the implementation in the organisation's BI environment as required by business teams. Take part in the implementation phase if needed
Apply best practices identified by the team and suggest optimisation when possible
Organise and coordinate the test phase
3. Communication and Promotion
Define and organise communication channels to senior stakeholders to promote the team's work
Develop a Data User Club to promote data analytics and data visualisation best practices and innovation
Liaise with the group Innovation and IT data teams to be involved in all initiatives related to data
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