Data Modeler with Insurity
Location: Princeton NJ (5 Days onsite)
Long Term
Primary skills: Insurity Insurance Data Analyst Data Modelling SQL Data Warehouse.
Experience: 12 Years of Experience
Responsibilities:
Design data models using ER diagrams and tools like Erwin.
Translate business requirements into technical designs for data models.
Translate business requirements into scalable and efficient data structures within Insurity solutions.
Collaborate with business analysts data engineers and developers to implement data solutions that align with enterprise architecture.
Map and integrate data between Insurity systems and other enterprise applications (CRM billing policy admin etc.).
Collaborate with architecture and business teams to formulate data requirements.
Perform data profiling validation and analysis.
Ensure data models follow enterprise standards and best practices.
Generate DDLs and collaborate with DBAs for physical design alignment.
Support the reporting team with data needs including hierarchical and aggregated data.
Requirements - Must Have:
10 years of experience in Data Modelling Data Analysis and Database Design.
Experience with ER diagrams and tools like Erwin for data modelling.
3 years of data Modeling experience in the insurance domain.
Hands-on experience with Insurity insurance platforms (e.g. Policy Decisions Claims Decisions Sure AI).
Proficiency in SQL and data warehouse concepts.
Ability to collaborate with cross-functional teams and translate business needs into technical solutions.
Strong analytical skills with attention to detail and accuracy.
Experience in data profiling validation and analysis.
Understanding of Agile methodologies.