Data Modeler
7 days ago
Key Requirements:
- Experience: 7-9 years in data modeling, with 3-5 years focused on design models as Data Modeler
- Industry Expertise:Preferred: Life insurance data modeling experience.
- Project Experience: Proven track record in data warehousing and business intelligence projects.
- Tools: Proficiency in data modeling tools (e.g., Erwin, PowerDesigner).
- Collaboration: Experience working with data engineers and multiple stakeholders.
Key Responsibilities:
Data Modeling:
- Design conceptual, logical, and physical data models for insurance products and processes.
- Develop normalized and dimensional models based on business requirements.
- Ensure compliance with enterprise architecture and data governance standards.
Domain Expertise:
- Utilize knowledge of insurance products, policies, claims, premiums, and underwriting.
- Support data modeling for insurance-specific entities like benefit categories and policyholder details.
Data Vault 2.0 Implementation:
- Build and implement Data Vault 2.0 models, including hubs, satellites, and links.
- Optimize models for scalability and seamless integration with existing systems.
Integration & Quality:
- Collaborate with ETL developers to integrate data from multiple sources.
- Define data quality checks to ensure data accuracy and integrity.
Stakeholder Collaboration:
- Work closely with business analysts, SMEs, and IT teams for requirement gathering.
- Serve as a liaison between technical teams and business stakeholders.
Documentation:
- Maintain comprehensive documentation for data models, business rules, and mappings.
- Ensure adherence to best practices and standards in data modeling.
Key Skills:
- Data Analysis & Design
- ETL & Data Integration
- Communication & Stakeholder Management
- Attention to Detail
- Problem-Solving
Education:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
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