Data Modeler
2 days ago
We are seeking a skilled and experienced Data Modeler to join our dynamic team in Taguig, Philippines. The ideal candidate will have a strong background in data modeling techniques and methodologies, with the ability to design efficient data structures that support business objectives.
Job Description:
- Design conceptual, logical, and physical data models for life insurance products and processes.
- Develop normalized and dimensional models based on business needs.
- Ensure models align with enterprise architecture and data governance standards.
Domain Expertise:
- Leverage knowledge of life insurance concepts such as products, policies, claims, premiums, underwriting, and benefits hierarchy.
- Support data modeling for life insurance-specific entities, such as benefit categories, policyholder details, riders, claims processing, and more.
Stakeholder Collaboration:
- Work closely with business analysts, subject matter experts (SMEs), and IT teams to gather requirements and translate them into data models.
- Act as a liaison between technical teams and business stakeholders to ensure data solutions meet business needs.
Data Vault 2.0 Implementation:
- Develop and implement Data Vault 2.0 models, including hubs, satellites, and links, for life insurance products and processes.
- Optimize models for scalability, flexibility, and integration with existing data systems.
Data Integration & Quality:
- Collaborate with ETL developers to integrate data from multiple sources into the modeled structures.
- Define and implement data quality checks to maintain data integrity and accuracy.
Documentation & Standards:
- Prepare and maintain comprehensive documentation of data models, business rules, and mappings.
- Ensure adherence to data modeling best practices and standards.
Role Key Requirements:
- Data Modeler/data modeling experience
- 7-9 years of total experience, very senior role, will need to interact with multiple people
- Solid data modeling for 3-5 years
- Expert in design models, will be working with data engineer
- Experience in any data modeling tool
- Data modeling for Life insurance experience is preferred but experience in banking or financial institution can be considered
Ready to make an impact? Apply now and let's grow together
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