Senior Enterprise Data Modeller (Hybrid, 12m Contract)

National Disability Insurance Agency

Canberra

Hybrid

AUD 120,000 - 150,000

Full time

9 hours ago
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Job summary

The National Disability Insurance Agency is seeking an EL1 Data Modeller to lead enterprise data modelling, governance and design for our modern data platform. You will collaborate with architects, engineers, analysts and stakeholders to ensure scalable, semantic data models across projects.

Responsibilities include designing star-schema dimensional models, defining KPIs, and delivering analytics-ready data assets, while improving performance and consistency for enterprise reporting and decision

Qualifications

  • Lead design and governance of enterprise semantic models, certified datasets, KPIs, and business metrics.
  • Translate business requirements into logical, dimensional and semantic data models.
  • Design and develop enterprise grade dimensional models using star schema principles.

Responsibilities

  • Lead the design and governance of semantic models and KPIs.
  • Translate requirements into logical, dimensional and semantic models.
  • Develop star-schema dimensional models for data warehouses.
  • Create analytical data models to support reporting and analytics.
  • Define business measures and reusable KPI calculations.
  • Collaborate with data engineers to identify data sources and data needs.
  • Improve semantic model performance and query efficiency.
  • Ensure reporting reuse by avoiding duplication of business logic.

Skills

Data modelling
Semantic modelling
Dimensional modelling
KPIs
SQL transformations
Data governance
Business metrics
BI tools

Tools

BI tools

Job description

The National Disability Insurance Agency is seeking an EL1 Data Modeller to lead enterprise data modelling, governance and design for our modern data platform. You will collaborate with architects, engineers, analysts and stakeholders to ensure scalable, semantic data models across projects.

Responsibilities include designing star-schema dimensional models, defining KPIs, and delivering analytics-ready data assets, while improving performance and consistency for enterprise reporting and decision

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