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.

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 annasee@recruitexpress.com.sg

Anna See Sing Yee CEI Reg R25157535 Recruit Express Pte Ltd EA License No: 99C4599

We regret that only shortlisted candidates will be contacted