Data Analyst Data Modeler

Nexus Corporation; Hong Kong; Vor Ort; HKD 600.000 - 900.000; Vollzeit

Zusammenfassung

Nexus Corporation in Hong Kong seeks a Data Architect to design and implement data architecture artifacts and modelling solutions. You will develop conceptual, logical and physical data models using Erwin, build data lineage, and guide data engineers on physical objects.

You will collaborate with stakeholders to translate requirements into robust data models, support data quality, and contribute to AI-assisted data discovery and documentation.

Qualifikationen

• Experience in data modelling, data architecture and data management.
• Hands-on experience with data modelling tools such as Erwin.
• Experience with data governance and metadata management tools such as Collibra.
• Knowledge of conceptual, logical and physical data modelling.
• Experience with data lineage, data quality, data profiling and dictionary creation.
• Familiarity with data engineering concepts and physical data object implementation.
• Ability to translate business requirements into data models and artifacts.
• Strong stakeholder management and communication with business users, product owners and technical teams.
• Experience implementing data standards and enterprise data governance practices.
• Exposure to AI-enabled data discovery and documentation generation is a plus.

Aufgaben

• Design, implement and document data architecture artifacts and data modelling solutions.
• Develop conceptual, logical and physical data models using data modelling tools.
• Build data lineage by linking business terms in data management tools to model elements.
• Provide guidance on physical data object implementation to data engineering teams.
• Perform data discovery, attribute mapping and data dictionary documentation generation.
• Provide guidance on data quality rules and data profiling for SoRs deployment.
• Support data preparation, provisioning and self-service automation initiatives.
• Collaborate with stakeholders to clarify requirements and implement fit-for-purpose data models.

Kenntnisse

Data modelling

Data architecture

Erwin

Data governance

Stakeholder management

Communication skills

Translating requirements into models

Tools

Erwin

Collibra

Jobbeschreibung

• Design implement and document data architecture artifacts and data modelling solutions
• Develop conceptual logical and physical data models using data modelling tools such as Erwin
• Build data lineage by stitching business terms in Group Data Management tools eg Collibra to logical and physical data model elements
• Provide guidance and assistance to data engineering teams regarding physical data object implementation
• Perform data discovery attribute mapping and data artifacts documentation generation eg data dictionary leveraging AI where applicable
• Provide guidance on data quality rules and facilitate data checks and profiling for Sources of Record SoRs deployment
• Support data preparation, data provisioning and data self-service automation initiatives
• Collaborate with business stakeholders and product owners to clarify business requirements definitions and processes and implement fit for purpose data models efficiently
• Align Application Logical Data Models ALDM with Enterprise Logical Data Models ELDM and enterprise standards
• Draft and align data standards and naming conventions for data artifacts across different data platforms

Key Responsibilities

• Design implement and document data architecture artifacts and data modelling solutions
• Develop conceptual logical and physical data models using data modelling tools such as Erwin
• Build data lineage by stitching business terms in Group Data Management tools eg Collibra to logical and physical data model elements
• Provide guidance and assistance to data engineering teams regarding physical data object implementation
• Perform data discovery attribute mapping and data artifacts documentation generation eg data dictionary leveraging AI where applicable
• Provide guidance on data quality rules and facilitate data checks and profiling for Sources of Record SoRs deployment
• Support data preparation, data provisioning and data self-service automation initiatives
• Collaborate with business stakeholders and product owners to clarify business requirements definitions and processes and implement fit for purpose data models efficiently
• Align Application Logical Data Models ALDM with Enterprise Logical Data Models ELDM and enterprise standards
• Draft and align data standards and naming conventions for data artifacts across different data platforms

Requirements

Required Skills Experience:

• Experience in data modelling, data architecture and data management
• Strong hands on experience with data modelling tools such as Erwin
• Experience working with data governance and metadata management tools such as Collibra
• Knowledge of conceptual logical and physical data modelling principles
• Experience with data lineage data quality data profiling and data dictionary creation
• Familiarity with data engineering concepts and physical data object implementation
• Experience gathering and translating business requirements into data models and data artifacts
• Strong stakeholder management and communication skills with the ability to work closely with business users, product owners and technical teams
• Experience in defining and implementing data standards naming conventions and enterprise data governance practices
• Exposure to AIenabled data discovery documentation generation and data management activities is an advantage

Languages: Business-level proficiency in Mandarin, Cantonese, and English is mandatory.