Lead Data Modeller for Enterprise Analytics

DFP Recruitment; Brisbane; Sur place; AUD 140 000 - 200 000; Plein temps

Résumé du poste

DFP Recruitment is seeking a Lead Data Modeller to drive enterprise data modelling initiatives across multiple projects and strategic programs in Australia. You will lead the design, governance and optimisation of data models that support modern data platforms, reporting and analytics capabilities.

You will work with architects, engineers and business stakeholders to establish best-practice data standards, ensure data quality and enable scalable, data-driven decision-making across the

Qualifications

• Lead enterprise data modelling with governance and standards.
• Translate business requirements into logical, dimensional and semantic models.
• Collaborate with data engineering to ensure data is structured for analytics.

Responsabilités

• Lead the design and governance of enterprise semantic models, certified datasets, KPIs, and business metrics.
• Translate requirements into logical, physical and semantic data models.
• Design and develop enterprise-grade dimensional models using star-schema principles.
• Develop and optimise analytical data models within data warehouse with SQL transformations.
• Design, develop and maintain reusable semantic models in BI tools for enterprise reporting.
• Define and implement business measures, KPIs and calculations.
• Collaborate with data engineering to identify source data requirements and ensure data is analytics-ready.
• Optimize semantic model performance and query efficiency.
• Enable consumption of governed models without duplicating logic across reports.

Connaissances

Data modelling

Stakeholder engagement

SQL transformations

Data governance

Performance tuning

Outils

ERWIN

Snowflake

Power BI

Description du poste

DFP Recruitment is seeking a Lead Data Modeller to drive enterprise data modelling initiatives across multiple projects and strategic programs in Australia. You will lead the design, governance and optimisation of data models that support modern data platforms, reporting and analytics capabilities.

You will work with architects, engineers and business stakeholders to establish best-practice data standards, ensure data quality and enable scalable, data-driven decision-making across the