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# Data & Analytics Lead

- **Company:** LegalAndGeneral
- **Location:** Cardiff, UK
- **Experience:** Expert
- **Salary:** £66,926.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Visualization, Python (Programming Language), Operational Data Store, Power BI, Tableau (Software), Microsoft Power Automate, Data Analytics, Tools for Reporting
- **Published:** October 20, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5934618216

## About the Role

* Advanced experience using Power BI, Tableau or an equivalent visualisation tool
 * Strong SQL capability and experience building and maintaining complex datasets
 * Experience using Python, Power Automate or similar technologies to improve reporting processes
 * Experience designing data models, reporting frameworks and dashboard solutions
 * The ability to translate business requirements into practical analytical products
 * Experience working with governance, risk, regulatory or operational data in a regulated environment
 * Strong stakeholder-management and consulting skills
 * The ability to explain technical concepts clearly to non-technical audiences

## Description

Good decisions depend on clear, trusted information. We are looking for a Data and Analytics Lead to develop and evolve the reporting, analytics and insight capability within our Retail Controls Office.

You will act as a technical specialist and trusted partner, turning complex governance, operational, customer and risk data into useful insight. You will help simplify reporting, automate manual activity and create scalable dashboards and data products that support business management, governance oversight and better customer outcomes.

This is an individual-contributor role with broad influence. It would suit someone who enjoys combining hands-on technical delivery with stakeholder consulting and has the confidence to shape how an organisation uses its data.

What you'll be doing:

 * Collaborating with data leaders from across the business
 * Partnering with stakeholders to understand priorities and define analytical requirements
 * Automating reporting and reducing manual processes and duplication
 * Analysing operational, customer, governance and risk data to identify trends and emerging issues
 * Designing dashboards, visualisations, data models and analytical products
 * Establishing controls over data definitions, calculations and transformation logic
 * Improving the accuracy, accessibility and reusability of management information