Senior Data Analyst
SSE View all jobs
- Dublin
- €57,600-86,400 per year
- Contract
- Full-time
This role focuses on transforming, structuring, and modelling data across the Medallion layers (bronze → silver → gold) to enable analytics, reporting, and operational use cases.
It is not a reporting or visualisation role - it is a hands-on modelling and pipeline design position aligned to the architectural principles used across CDP.You Will
- Develop and maintain comprehensive data models (conceptual, logical, and physical) for various enterprise and project use cases, ensuring alignment with the SSE Enterprise Data Model.
- Engage with stakeholders to understand business processes and requirements, translating them into clear and effective data structures for analytical and reporting purposes.
- Validate and produce AS-IS and TO-BE data models to support transformation, migration, and modernisation initiatives, including ensuring support for analytical, regulatory, and AI/ML use cases.
- Collaborate with analytics, BI, and technical teams to ensure data models are fit for purpose, support data quality, auditability, and are optimised for querying, reporting, and visualisation.
- Maintain high-quality documentation, including data model diagrams, data dictionaries, and mapping documents, and contribute to data governance and modelling standards across the enterprise.
- Strong understanding of data modelling principles (conceptual, logical, physical) and familiarity with modern data architectures (lakehouse, medallion, domain-oriented).
- Expertise in producing data mappings, transformation definitions, analytical structures, and supporting analytics, MI, or regulatory reporting use cases.
- Proficient with data modelling tools (e.g. ER modelling tools, Sparx Enterprise Architect), SQL, relational databases, and cloud-based platforms (e.g. Databricks, Azure).
- Excellent analytical mindset, documentation and communication skills, with the ability to engage business, analytics, and technical stakeholders and knowledge of data governance, quality, or master data management.