12 Months Senior Analyst, Data Analytics (Insurance) $4500-$5600 #BYR

ResponsibilitiesEnterprise Data ModellingDesign, maintain and enhance enterprise data models across key business domains such as Customer, Policy, Product, Distribution, Claims, Finance and Operations.Develop conceptual, logical and physical data models aligned with enterprise data architecture and analytics objectives.Identify opportunities to improve data model coverage across operational and analytical platforms.Define consistent business entities, attributes, relationships and standard business definitions.Partner with business users, solution architects and data engineers to translate business requirements into scalable data models.Semantic Layer & Analytics EnablementDesign and maintain semantic models that support self-service analytics, reporting and AI-enabled use cases.Develop business-friendly semantic layers and curated data structures within Snowflake.Define reusable business metrics, dimensions, hierarchies and measures to promote enterprise-wide consistency.Support AI and GenAI initiatives by establishing clear business terminology, semantic relationships and reusable business definitions.Data Product Design & DocumentationCollaborate with data engineering teams to translate data models into implementation-ready specifications.Produce data mapping documents, business glossaries, metadata definitions, lineage documentation and ER diagrams.Support the onboarding and integration of new data sources into the enterprise data model.Review proposed data structures to ensure alignment with enterprise data modelling standards.Stakeholder CollaborationWork closely with business and technology teams to understand data requirements and business concepts.Facilitate discussions and workshops to define enterprise business entities, relationships and standard definitions.Contribute to strategic data initiatives, including enterprise reporting, self-service analytics, cloud data platforms and AI-driven programmes.RequirementsExperienceExperience in Data Modelling, Analytics Engineering, Semantic Layer Development or a related data discipline.Strong understanding of conceptual, logical and physical data modelling principles.Experience designing semantic models, including business entities, dimensions, measures, hierarchies, joins and reusable metrics.Ability to translate business terminology and reporting requirements into scalable data models and implementation-ready specifications.Strong SQL skills with experience working on large-scale data platforms.Experience producing ER diagrams, business glossaries, metadata documentation and source-to-target mapping.Strong communication skills with the ability to bridge business and technical stakeholders.Experience within the financial services or insurance industry will be an advantage.Technical SkillsExperience with Snowflake, including curated data models, analytical views and business-facing data structures, is highly desirable.Good understanding of semantic layer design for analytics, reporting, dashboards and AI-enabled data consumption.Familiarity with business glossary design, metadata management, data product modelling and metrics modelling.Exposure to Oracle Cloud, AWS S3, Airflow or similar cloud data technologies is advantageous.Knowledge of AI, GenAI, knowledge graphs, business ontologies or semantic modelling concepts will be beneficial.EducationBachelor's degree in Computer Science, Information Systems, Data Analytics, Management Information Systems or a related discipline.Interested applicants please email your resume to [email protected] Tham Yi Ru (R1104692)Recruit Express Pte Ltd (EA Number: 99C4599)