Data Modeller / Analytics EngineerKings Langley, HertfordshirePermanent Full Time

Strong data modelling expertise: dimensional modelling, business rules, dimensions; data patterns.

Ability to define and govern metrics and model consistency across multiple products and source system integrations.

SQL mastery and experience with transformation frameworks and testing/documentation practices.

SQL, building Star Schema data models and ETL & DAX.

Extensive skills in data quality, traceability and observability integrated into modelling workflows.

Strong stakeholder skills to translate business requirements into robust data products.

This is a rare opportunity to join a newly created global data modelling lead role, in a growing central data and analytics team.

Your key work will be to lead the design and build of governed, reusable global data models that translate enterprise data into business-ready dimensions, facts and metrics for consistent reporting, self-service reporting, analytics and AI/ML readiness.

You will be the bridge between the data team, IT leaders and business leaders: understanding and defining requirements, shaping data products, modelling business logic, and enabling performant, well-documented accurate data delivery at a global scale.

This work relates predominantly in year one to corporate services data, specifically finance and human resources.

You will be the global lead in RES for data modelling and analytics engineering, educating and training regional staff, providing templates and guidance on best practice.

Lead working groups with the business/IT and define comprehensive business requirements from stakeholders.