EL1 Lead Data Modeller

Softtest pays pty ltd; Brisbane; Sur place; AUD 110 000 - 150 000; Plein temps

Résumé du poste

Softtest pays pty ltd in Australia invites applications for an EL1 Data Modeller who will lead enterprise data modelling across multiple projects and initiatives. You will work with architects, engineers, analysts and business stakeholders to drive best practice data modelling, governance and design for the agency’s data platform.

The role focuses on semantic models, data quality, KPIs and analytics capability, and requires strong collaboration with data engineering and reporting teams to ensure

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.
• Collaborate with business stakeholders and data architects to understand business requirements and translate them into logical, dimensional and semantic data models.

Responsabilités

• 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.

Connaissances

Data modelling

Data governance

SQL

Data warehousing

Description du poste

Australian Citizens residing in Australia only respond.

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.

Australian Citizens residing in Australia only respond.

Job details

Role/s: 1 x EL1 Data Modeller

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.)