1 Year Contract Senior Data Analytics & Data Modelling Analyst #BLM

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RECRUIT EXPRESS PTE LTD is seeking a Data Architect to develop and maintain enterprise data models across Customer, Policy, Product, Distribution, Claims, Finance and Operations domains.

You will design semantic models and Snowflake layers to support enterprise reporting, self service analytics and AI or GenAI use cases, and partner with business stakeholders, Data Engineers and Solution Architects to translate requirements into scalable data structures.

Responsibilities

• Develop and maintain conceptual, logical and physical enterprise data models across Customer, Policy, Product, Distribution, Claims, Finance and Operations domains.
• Design semantic models and Snowflake semantic layers to support enterprise reporting, self service analytics and AI or GenAI use cases.
• Partner with business stakeholders, Data Engineers and Solution Architects to translate business requirements into scalable data models and structures.
• Define standard business entities, metrics, dimensions, attributes and relationships to drive consistent data definitions across the organisation.
• Prepare data mapping documents, business glossaries, metadata definitions, data lineage documentation and model diagrams; support onboarding of new data sources.
• Facilitate discussions with business and technology teams on modelling requirements while supporting Snowflake adoption, enterprise analytics and AI or GenAI initiatives

Job description

Job Responsibilities

• Develop and maintain conceptual, logical and physical enterprise data models across Customer, Policy, Product, Distribution, Claims, Finance and Operations domains.
• Design semantic models and Snowflake semantic layers to support enterprise reporting, self service analytics and AI or GenAI use cases.
• Partner with business stakeholders, Data Engineers and Solution Architects to translate business requirements into scalable data models and structures.
• Define standard business entities, metrics, dimensions, attributes and relationships to drive consistent data definitions across the organisation.
• Prepare data mapping documents, business glossaries, metadata definitions, data lineage documentation and model diagrams; support onboarding of new data sources.
• Facilitate discussions with business and technology teams on modelling requirements while supporting Snowflake adoption, enterprise analytics and AI or GenAI initiatives