Data Quality Analyst

Data Quality Analyst Forest House | £30,000 - £36,000 depending on experience | Free Parking onsite | Hybrid - a mix of home working and typically 2 days per week in the office We’re a thriving team passionate about working together to deliver excellence, all in a natural forest environment Welcome to Center Parcs, the number one choice for short break holidays, employing a team of over 10,000 across Forest House and six separate villages located in the UK and Ireland. Our Data team is at an exciting point in its development. We’re strengthening how we manage, assure and unlock value from data across the business, helping colleagues make confident decisions using information they can trust. As our Data Quality Analyst, you’ll play a central role in improving the validity, reliability and accessibility of data across our data warehouse and data lake. You’ll combine hands-on analysis with data stewardship, automation and stakeholder collaboration to identify issues, improve processes and build greater trust in our data. What you’ll be doing 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.

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.

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