Senior Data Analyst (1 Year) #ESY

Enterprise Data Modelling

· Define, maintain and enhance enterprise data models across key business domains including Customer, Policy, Product, Distribution, Claims, Finance and Operations.

· Develop conceptual, logical and physical data models aligned to target data architecture and analytics priorities.

· Identify and close data model coverage gaps across core source systems and analytical platforms.

· Establish common business definitions, entities, attributes and relationships across business domains.

· Partner with business stakeholders, Data Engineers and Solution Architects to translate business requirements into scalable data models.

Semantic Layer & AI/GenAI Enablement

· Design and maintain semantic models to support self-service analytics, reporting and AI-enabled use cases.

· Build and maintain Snowflake semantic layers and business-friendly data structures for analytics consumers.

· Support adoption of GenAI and AI agent use cases through well-defined business terminology, metrics and semantic relationships.

· Define reusable business metrics, hierarchies, dimensions and measures for enterprise-wide consistency.

Data Product Design & Documentation

· Work closely with Data Engineering teams to translate data models into implementation specifications.

· Produce mapping documents, business glossaries, metadata definitions, lineage documentation and model diagrams.

· Support onboarding of new data sources and integration into the enterprise data model.

· Review proposed data structures and ensure alignment with enterprise modelling standards.

Stakeholder Engagement

· Collaborate with Finance, Distribution, Operations, Product and Technology teams to understand business concepts and modelling requirements.

· Facilitate workshops to define enterprise business entities, relationships and standard definitions.

· Support strategic initiatives such as enterprise reporting, self-service analytics, Snowflake adoption and AI/GenAI programmes.

Requirements

Experience

· 2-3+ years of experience in Data Modelling, Analytics Engineering, Semantic Layer Development or related disciplines.

· Hands-on experience supporting semantic layer design or development, including defining business-friendly entities, dimensions, measures, metrics, hierarchies, joins and relationships for analytics consumption.

· Experience translating business terminology and reporting requirements into reusable semantic models, business definitions and implementation-ready specifications.

· Strong knowledge of conceptual, logical and physical data modelling techniques.

· Strong SQL skills and experience working with large-scale data platforms.

· Experience producing ERDs, business glossaries, metadata documentation and source-to-target mapping specifications.

· Ability to bridge business stakeholders and technical teams, translating business requirements into data models and engineering-ready specifications.

· Experience in the financial services or insurance sector will be advantageous.

Technical Skills

· Snowflake experience is strongly preferred, including experience working with curated data models, analytical views and business-facing data structures.

· Good understanding of semantic layer development, including defining business entities, dimensions, measures, metrics, joins, hierarchies and reusable business definitions.

· Experience designing semantic models that support self-service analytics, dashboarding, reporting and AI/GenAI-enabled data consumption.

· Ability to translate business terminology into structured semantic models that can be consumed by analytics tools, BI platforms and AI agents.

· Experience with metrics modelling, business glossary design, data product modelling, metadata management and source-to-target mapping will be advantageous.

· Knowledge or experience with Oracle Cloud, AWS S3 and Airflow will be advantageous.

· Understanding of GenAI, AI agents, knowledge graphs, business ontologies or semantic models will be advantageous.

Education

· Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Management Information Systems or a related field.

Interested candidates, please email your resume to [email protected]

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted