data modeller.

• Consult with stakeholders and analyse existing data schemas to establish the foundation definitions of the Master Data Assets
• Transform business requirements and entities as Data Assets and common models including documentation of all data elements and their associated synonyms, lineage and business rules
• Analyse requirements and business processes to develop and maintain Data Dictionary and Meta Data Library, providing further detail for each data element in the Master Data
• Identify and problem solve issues/inefficiencies in current state source data
• Represent data as conceptual, logical and physical models and define the relationships between rules and data objects
• Maintain the data models and define data modelling and design standards
• Reverse engineer legacy physical data models and transform them into target models using Information Architecture principles
• Use contemporary tools to generate models and to import/export models to the target state environments.

• Experience operating within large and complex ICT programs of work
• Previous experience working as a Data/Information Modeller on a large Business Analytics and Data Platform Program or equivalent
• Strong understanding of contemporary data/business intelligence technologies and approaches and the supporting enterprise-level data governance/management
• In-depth experience working as a Data Analyst, Data Modeller in the data and analytics field
• Ability to document source data and identify issues/inefficiencies in current state
• Strong stakeholder management and engagement skills, with the ability to collaborate with business staff to help manage the decision-making process to define data definitions, including master data and master data management requirements
• Knowledge of data platform and data modelling principles and schema with strong data analysis and problem-solving skills
• Proficiency in data modelling principles, such as logical and conceptual data models
• Proficiency in using semantic models and business intelligence tools to represent insights
• Experience in database administration and software development tools and scripts
• A foundational knowledge of mathematical concepts and statistical analysis
• Experience with data modeling tools like Power Designer and Spark EA or a cloud-based data modelling tool
• Demonstrated experience in working with cloud-based data transformation, DevOps and DevOps pipelines
• Highly developed verbal communication skills with business and technical stakeholders.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.