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# Data Quality Analyst

- **Company:** Center Parcs
- **Location:** Newark-on-Trent, United Kingdom (Remote available)
- **Salary:** £30,000 - £36,000
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Profiling, Data Warehousing, Python (Programming Language), SQL Databases, Scripting, Data Ingestion, Data Lakes, Qlikview, Data Management
- **Published:** November 11, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-quality-analyst/57554157

## About the Role

* Data Analysis Capability: Experience using SQL and Excel to extract, analyse and assess data, with practical knowledge of data profiling, validation, cleansing, monitoring or governance.
 * Automation & Reporting: Experience using Python or comparable scripting tools to automate data tasks, together with experience creating dashboards or visual reports in Qlik or a similar platform.
 * Data Quality Delivery: Evidence of identifying data issues, completing root-cause analysis and working with stakeholders to implement improvements, manage priorities and build trust in data.

## Description

* Data Quality Monitoring & Analysis: Carry out regular checks across our data warehouse and data lake, monitor data ingestion and processing, investigate failures and complete root-cause analysis to identify and prioritise issues
 * Data Stewardship & Trust: Develop data quality scoring, maintain our data catalogue and work with colleagues across the business to agree definitions, sources of truth and clear ownership of data.
 * Automation & Continuous Improvement: Automate checks, alerts and repeatable processes, and recommend improvements to source systems and ways of working that strengthen data quality and reduce manual effort.
 * Reporting & Insight: Define and report data quality measures through accessible dashboards, giving data owners and teams a clear view of data health, integrity and areas requiring attention.
 * Stakeholder Collaboration: Work with the wider Data team, Data Protection and business stakeholders to understand requirements, prioritise work, communicate progress and translate governance policies into practical processes.