El1 Lead Data Modeller

Softtest Pays Pty

New South Wales

On-site

AUD 120,000 - 150,000

Full time

6 days ago
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Job summary

Softtest Pays Pty in Australia seeks an EL1 Data Modeller to lead enterprise data modelling across multiple projects, collaborating with architects, engineers and analysts to design semantic models, govern data and enable analytics across the organisation.

The role focuses on star-schema dimensional modeling, KPI definitions, and scalable data structures for a modern data platform. Strong stakeholder engagement is essential for success.

Qualifications

  • Lead the 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, including fact tables, dimensions, relationships, hierarchies and appropriate data granularity.

Responsibilities

  • Develop and optimise analytical data models within data warehouse, including presentation layer tables, views and SQL transformations.
  • Design, develop and maintain reusable and scalable semantic models in BI tools to support enterprise reporting and analytics.
  • Define and implement business measures, KPIs, calculations and reusable business logic.
  • Collaborate with data engineering teams to identify source data requirements, resolve data modelling challenges and ensure data is structured appropriately for analytical consumption.
  • Optimise semantic model performance including relationships, cardinality, filter propagation and underlying database query performance.
  • Work closely with reporting and analytics teams to enable consumption of governed semantic models without duplicating business logic across reports.

Skills

Reports
Performance Analysts
Data Support
Database Calculations
Data Engineering
Architects
Business Requirements
Metrics
Analytics
Design Engineering
Business
SQL

Job description

Job Description:

Australian Citizens residing in Australia only respond.

Job details

The EL1 Data Modeller role is responsible for leading enterprise data modelling activities across multiple projects and initiatives. Working closely with architects, engineers, analysts and business stakeholders, the position drives best practice data modelling, governance and design to support the Agency's modern data platform and analytics capability.

Key duties and responsibilities
  • Lead the design and governance of enterprise semantic models, certified datasets, KPIs, and business metrics.
  • Engage with business stakeholders and data architects to understand business requirements and translate them into logical, dimensional and semantic data model.
  • Design and develop enterprise grade dimensional models using start schema principles, including fact tables, dimensions, relationships, hierarchies and appropriate data granularity.
  • Develop and optimise analytical data models within data warehouse, including presentation layer tables, views and SQL transformations to support semantic model requirements.
  • Design, develop and maintain reusable and scalable semantic models in BI tools to support enterprise reporting and analytics.
  • Define and implement business measures, KPIs, calculations and reusable business logic.
  • Collaborate with data engineering teams to identify source data requirements, resolve data modelling challenges and ensure data is structured appropriately for analytical consumption.
  • Optimise semantic model performance including relationships, cardinality, filter propagation and underlying database query performance.
  • Work closely with reporting and analytics teams to enable consumption of governed semantic models without duplicating business logic across individual reports.

(Note: responsibilities may change based on business priorities.)

Required Skills:

Reports Performance Analysts Data Support Database Calculations Data Engineering Architects Business Requirements Metrics Analytics Design Engineering Business SQL

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