Data Modeller

FR Consultancy; Sydney; On-site; AUD 120,000 - 150,000; Full time

Job summary

FR Consultancy in Sydney is seeking a data analytics professional with strong data modelling and governance experience. The role involves analysing transactions and analytical data, modelling data structures, and applying profiling to ensure data quality across enterprise systems.

Applicants should be proficient with SQL, data governance concepts, and AWS data services, with experience in delivering large-scale information management and analytics projects.

Qualifications

• Experience in data analysis and modelling against transactional and analytical systems.
• Experience in the use of data modelling tools and the management of data modelling repositories and solutions.
• Experience in using data profiling, using both automated tools and hand coded SQL to determine data quality metrics, constraints, etc.
• Experience in the delivery of large scale, information management, information governance and analytics solutions
• Working knowledge of large enterprise relational database management systems comprising of traditional databases (MS SQL Server, Oracle) and cloud-based platforms and solutions within AWS.
• Working knowledge of data governance frameworks, processes and technologies such as data catalogues and business glossaries.

Skills

Data analysis

Data modelling

SQL scripting

Information governance

AWS data services

Data quality metrics

Tools

Data Modelling Tools

Job description

Status: Valid visa with full working rights

Key Skills:

• Experience in data analysis and modelling against transactional and analytical systems.
• Experience in the use of data modelling tools and the management of data modelling repositories and solutions.
• Experience in using data profiling, using both automated tools and hand coded SQL to determine data quality metrics, constraints, etc.
• Experience in the delivery of large scale, information management, information governance and analytics solutions
• Working knowledge of large enterprise relational database management systems comprising of traditional databases (MS SQL Server, Oracle) and cloud-based platforms and solutions within AWS.
• Working knowledge of data governance frameworks, processes and technologies such as data catalogues and business glossaries.

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