Data Modeller
1 day ago
4-month contract | Data Modeller | Federal Government
**Exiting Opportunity with Federal Government**
**short term contract**
**Data Modeller**
**Excellent daily rates on offer**
**Your new company**
Your new company is a leading Federal Government organisation that exists to care for our veteran and defence service community - the men and woman who have served Australia in times of War and conflict as well as peacetime.
**Your new role**
Data modellers are needed to support the existing team to work with Department's business areas to understand their reporting requirements, the business environment and data, and then automate the restructuring of this data for broader reporting and analytic use.
**What you'll need to succeed**
- Capture and model data requirements, data definitions, metadata, business rules, data quality requirements, and logical and physical data models;
- Understand data modelling schemes and techniques;
- Understand data modelling requirements in a data warehouse context, including relational and dimensional modelling practices;
- Develop data modelling standards that provide guiding principles to meet business requirements and ensure the quality of data;
- Use data modelling tools to build various types of data models (conceptual, logical and physical). Preference given to users who have practical experience in Erwin;
- Undertakes data modelling activities to ensure that Department business users understand data content;
- Ensures that data can be presented in the most usable form and is fit-for-purpose.
**What you'll get in return**
- Excellent daily rates on offer
- Hybrid work
- Short term contracting role
- opportunity to work with leading Federal Government Organisation
**What you need to do now**
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.
At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.
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