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# Data Quality Analyst

- **Company:** Sanderson Recruitment Plc
- **Location:** London, UK
- **Salary:** £130,000.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Big Data, Data Governance, Database Queries, SQL Databases, Data Management
- **Published:** October 23, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-quality-analyst/57487076

## About the Role

* Strong experience working as a Data Quality Analyst
 * Strong analytical and problem-solving skills.
 * Advanced Excel skills and experience working with large datasets.
 * Ability to interpret business requirements and translate them into measurable data standards.
 * Experience investigating data issues and performing root cause analysis.
 * Strong stakeholder management and communication skills.
 * Excellent attention to detail and documentation skills.

Desirable Skills

 * Knowledge of Data Governance or Data Management principles.
 * Experience working with data quality frameworks.
 * SQL or data querying experience.
 * Experience supporting reporting or dashboard development
 * Experience within financial services or another regulated environment

## Description

Our client, a leading financial services organisation, is looking for a Data Quality Analyst to help improve the quality, accuracy and reliability of business-critical data across the organisation.

This role sits within the Data Management function and will play a key part in ensuring data is fit for purpose, measurable and trusted. You'll work closely with business stakeholders, data owners and analytics teams to define quality standards, investigate data issues and support continuous improvement initiatives.

What You'll Be Doing

 * Define data quality rules, measures and tolerances for critical business data.
 * Analyse and profile data using Excel and other accessible tools.
 * Identify trends, anomalies and data quality risks.
 * Translate business requirements into technical specifications for reporting and analytics teams.
 * Support the development and testing of data quality dashboards.
 * Monitor data quality performance and investigate exceptions.
 * Conduct root cause analysis and provide evidence-based findings.
 * Work with data owners and stewards to develop remediation plans.
 * Track improvements and assess whether actions are delivering sustainable results.
 * Maintain clear and auditable documentation of rules, controls, issues and actions.