Exploration of the data footprint left behind by risk-related activities in different domains
Creating a data model on the conceptual and logical levels that incorporates the discovered entities and relationships
Creating a semantic layer that allows managing and utilizing the necessary metadata (e.g., data dictionary, lineage information, etc.)
Designing the presentation (gold) layer enabling the consumption of the data and specifying the necessary transformation from the highly normalized logical model to the presentation model.
This role requires an independent self-starter with a strong affinity to data and data science. The ideal candidate has long-term experience with data integration and visualization as well as some experience in the field of data science.
The following qualifications are required:
A minimum of 5 years experience in data architecture
The ability to analyze and present statistical information
Mastery of specific types of databases, such as relational or foundational databases
Deep experience with data modeling techniques
Experience with database management software
Data management skills
Exceptional verbal and written communication skills