Senior Data Modeller & Technical Data Analyst — Hybrid

Royal London; City of Edinburgh; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working (50% from home / 50% in

28 days annual leave

Up to 14% pension matching

Private medical insurance

Job summary

Royal London is seeking a Senior Data Modeller - Technical Data Analyst to join the Core Engineering Team in the Group Data & AI Office. You will turn complex data into trusted, well-governed data products powering analytics, reporting and AI.

You will analyse data, map and integrate it with existing models, and maintain clear standards. You will support metadata management and document mappings for enterprise-scale data assets across the EDM platform.

Qualifications

• Strong data analysis, mapping and modelling skills across enterprise architectures.
• Experience with domain-based data modelling and complex source-to-target mappings.
• Experience delivering technical data analysis for complex programmes and multi-vendor environments.
• Knowledge of data integration, warehousing concepts and ETL practices.

Responsibilities

• Analyse and understand data and integrate with existing data models and products.
• Maintain clear modelling and naming standards; support metadata management.
• Create source-to-target mapping documentation using industry-standard tools.
• Support EDM maintenance, optimisation and expansion for analytics, BI and AI use cases.

Skills

Data analysis

Data modelling

Enterprise data architecture

Domain-based modelling

Source-to-target mappings

Data integration

ETL concepts

Azure Data Factory

Data warehousing concepts

Stakeholder communication

Agile delivery

Leadership

Tools

ER/Studio

Erwin

Sparx EA

Azure Data Factory

Job description

Royal London is seeking a Senior Data Modeller - Technical Data Analyst to join the Core Engineering Team in the Group Data & AI Office. You will turn complex data into trusted, well-governed data products powering analytics, reporting and AI.

You will analyse data, map and integrate it with existing models, and maintain clear standards. You will support metadata management and document mappings for enterprise-scale data assets across the EDM platform.