This pay rate is inclusive of mandatory 25% casual loading
Our QLD Government client is currently seeking Data Modeller to design and develop definitions of Data Assets for their organisation. In this role you will work with multiple stakeholders, self-manage competing priorities and work with the Technical Delivery Lead to achieve the intended outcomes for business and technical requirements.
This is an opportunity to join an essential business unit that delivers performance, business intelligence, monitoring, measurement and reporting products and services to support the organisation and Queensland Government priorities and national agendas. You will join an established program that consists of five projects and will establish the necessary capabilities to provide trustworthy information across the organisation.

WHAT YOU WILL DO:

• Consult with stakeholders and analyse data schemas to establish the definitions of Data Assets
• Transform business requirements and data schemas into reporting and analytics Data Assets, ensuring alignment to the organisation’s logical models and information models
• Document data elements and synonyms, lineage, quality rules and business rules and maintain Data Dictionary and Meta Data libraries
• Assist in defining and then be responsible for maintaining data modelling and design standards
• Reverse engineer physical data models and transform them into target models using architecture principles
• Represent data as conceptual, logical and physical models and define relationships using contemporary tools

WHAT YOU’LL BRING TO THE ROLE:

• Demonstrated experience working as a Data Modeller and Data Analyst/Engineer on large Data & Analytics Platforms
• Demonstrated experience operating within large and complex ICT programs of work
• Strong understanding of contemporary data & business intelligence technologies and approaches
• Strong understanding of enterprise-level data governance/management and its application
• Ability to collaborate with business and technical resources to define data definitions, including master data related to master data management requirements
• Strong knowledge of conceptual, logical, and data modelling principles
• Strong data analysis and problem-solving skills
• Demonstrated experience with data modelling software and tools
• Demonstrated experience in working with cloud-based data transformation, DevOps and DevOps pipelines
• High attention to detail and well organised
• Highly developed verbal & written communication skills with business and technical stakeholders