12 Months Senior Data Analyst Modelling | Semantic Layer | Up to $5580 #NKA
Summary
This role involves defining and maintaining enterprise data models and Snowflake semantic layers to support reporting, self-service analytics, and AI initiatives. The analyst will collaborate with stakeholders and engineers to translate business requirements into scalable data structures and documentation.
Location: Marina One
Duration: 12 Months
Salary: Up to $5580 + 1 month completion bonus
Job Responsibilities:
- Define and maintain enterprise data models across Customer, Policy, Product, Distribution, Claims, Finance and Operations.
- Develop conceptual, logical and physical data models aligned with enterprise architecture and analytics priorities.
- Establish consistent business definitions, entities, attributes and relationships across domains.
- Partner with stakeholders, Data Engineers and Solution Architects to translate business requirements into scalable data models.
- Design and maintain Snowflake semantic models and business-friendly data structures for reporting, self-service analytics and AI/GenAI use cases.
- Define reusable business metrics, hierarchies, dimensions and measures.
- Translate data models into implementation specifications and maintain data mappings, glossaries, metadata, lineage and model documentation.
- Support onboarding and integration of new data sources while ensuring enterprise modelling standards.
- Facilitate workshops with Finance, Distribution, Operations, Product and Technology teams to define modelling requirements.
- Support enterprise reporting, Snowflake adoption, self-service analytics and AI/GenAI initiatives.
Job Requirements:
- 2–3+ years of experience in Data Modelling, Analytics Engineering or Semantic Layer Development.
- Strong experience in conceptual, logical and physical data modelling.
- Hands-on experience with semantic models, business metrics and data definitions.
- Strong SQL skills and experience with large-scale data platforms; Snowflake preferred.
- Able to translate business requirements into scalable data models and technical specifications.
- Experience with ERDs, metadata, business glossaries and data mapping.
- Financial services/insurance and exposure to AI/GenAI, AWS, Oracle Cloud or Airflow are advantageous.
- Degree in Computer Science, Information Systems, Data Analytics or related field.
Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd