12 Months Senior Data Analyst Modelling | Semantic Layer | Up to $5580 #NKA

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 57,000 - 68,000; Full time

Job summary

RECRUIT EXPRESS PTE LTD is seeking a Data Modelling / Analytics Engineer to design and maintain enterprise data models across multiple domains from Customer to Finance. The role emphasizes Snowflake-based semantic models and scalable data definitions to support reporting and AI/GenAI use cases.

You will work with Data Engineers and Solution Architects to translate business requirements into implementable data models, defining metrics and metadata while ensuring consistency and governance across

Qualifications

• 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

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

Skills

SQL skills

Semantic data modeling

Data definitions

ERDs

Metadata & glossaries

Education

Bachelor's degree in Computer Science/Information Systems/Data Analytics

Tools

Snowflake

AWS

Oracle Cloud

Airflow

Job description

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.