Lead Data Modeller

Location Sydney CBD
Discipline BI, Data & Analytics
Job reference 178768
Salary Negotiable
Consultant email [email protected]



Key duties and responsibilities


The Data modeller will be responsible for, but not limited to:

  • Undertaking work that is moderately complex to complex and/or sensitive in nature, under limited direction, utilising expertise and knowledge within the area of data modelling
  • Analysing and translating business needs into long-term solution data models.
  • Evaluating existing data systems.
  • Working with the development or Agile Delivery team to create conceptual data models and data flows.
  • Developing best practices for data coding to ensure consistency within the system.
  • Employing data modelling techniques to develop analytical solutions and make recommendations to business stakeholders.
  • Establishing sustainable automatic analytical processes.
  • Collaborate with stakeholders and data professionals to identify and support process improvement opportunities within data governance and quality frameworks.
  • Reviewing modifications of existing systems for cross-compatibility.
  • Implementing data strategies and developing physical, conceptual and logical data models.
  • Updating and optimizing local and metadata models.
  • Evaluating implemented data systems for variances, discrepancies, and efficiency.
  • Troubleshooting and optimising data systems.

Skills and experience;

  • 3 years of hands-on experience with data modelling.
  • Demonstrated ability to use best practice data modelling methods and suitable data analysis tools and techniques.
  • Expert knowledge of metadata management and related tools.
  • Knowledge of mathematical foundations and statistical analysis.
  • Strong interpersonal skills - understands and manages client expectations to deliver data-driven solutions.
  • Experience with team management.
  • Excellent problem-solving, communication and presentation skills.
  • Proficient in writing technical documentation using appropriate templates/version control.
  • Experience with developing data warehouse, data lake, and enterprise big data solutions within cloud-platforms.