Data Analyst Data Modeler

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 artefacts across different data platforms

Required Skills Experience

• Experience in data modelling data architecture and data management
• Strong handson 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