Data modeler

3. Organization and moderating workshops with the business client in order to define their business needs.
4. Gathering the business requirements and define solutions with the client
5. Designing the different data patrimonies and keep it coherent in time
6. Creating and updating the functional documentation
7. Explaining the functional contents of the projects to the development team (link between users and the development team)
8. Validating the deviations needed in the design and controlling they are documented.
9. Ensuring the respect of the functional and technical design standards.
10. Definition of best practices and patterns to be applied in his application context and documenting and maintaining them.
11. Testing of new developments or changes of existing functionalities.

University Graduate or Professional bachelor Ideally University graduate "Master" in information Science, Management or Industrial Engineer.

Personal Skills (soft skills - intangible qualities or traits that enhance our interactions) Mandatory *

• Structured and pro-active
• Flexible
• Pragmatic and result oriented
• Hands on and problem solver
• Stress resistant
• Quality driven
• Demonstrated ability to work in a small team setting

Preferable *

• Client friendly
• Superior communication and interpersonal skills (tact, diplomacy, influence).

Business experience required (work experience) Mandatory Years *

• Experience in data modelling and functional analysis
• Experience in star scheme modelling through projects
• Good knowledge of insurance processes and of BI principles to support these.

Mid-level (2 y - 5 y)

Technical experience required (hard skills related to physical or digital tools) Mandatory Years *

• Detailed understanding of SAS (Base, DI, EG) development and tabular models on SSAS through experience
• Knowledge of SQL server
• Good computer skills, proficient with Microsoft BI Tools (PowerBI)
• Long experience in analysis, knowledge of efficient testing techniques, efficient and performant coding capabilities

Mid-level (2 y - 5 y)

Preferable *

• Mastering scheduling principles and techniques (CTRL/M)
• Thorough understanding of corporate practices, processes and standards and their impact on project deliveries.

Functional experience required (job experience in particular industry and in particular function) Mandatory Years *

• Thorough experience in data modelling techniques trough projects
• Understanding development life cycles
• Good organizational skills with demonstrated ability to deliver data oriented projects on time and on budget.

Mid-level (2 y - 5 y)

Preferable *

• Experience in data modelling via Erwin
• Mastering scheduling principles and techniques

Data analysis is becoming more and more important in today's world of business decision making. Who hasn't heard about Advanced Analytics and Machine learning? In the data warehouse team we are working in the fascinating world of data every day. In order to be fully prepared for tomorrow's challenges, we have put in place a new platform, new tools and new detailed and aggregated data for our business clients to support them in their analysis. We work closely with the business to analyse and model data. In the DWH team, we strive to combine insurance business concepts and develop well reflected systems to respond a maximum to our business clients' reporting needs. 2. Mission period