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# Data Analyst

- **Company:** Lorien
- **Location:** Warrington, UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Validation, Data Governance, Extract Transform Load (ETL), Data Profiling, Data Warehousing, SQL Databases, Informatica Powercenter, Collibra, Data Management
- **Published:** July 25, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/41903933/

## About the Role

Key Skills & Experience:Strong experience in Data Quality, Data Governance, or Data Analysis rolesHands-on SQL experience for data validation and investigationExperience with data profiling, reconciliation, and quality assessmentsProven track record of root cause analysis and remediationUnderstanding of ETL processes and Data Warehouse environmentsExperience defining data quality metrics, KPIs, and dashboardsKnowledge of Data Governance and Data Stewardship practicesExposure to Azure Purview, Collibra, Informatica, or similar tools is advantageousExcellent stakeholder engagement and communication skills
Desirable: Experience working within regulated industries such as Utilities, Energy, Financial Services, Insurance, Healthcare, or GovernmentIf this sounds like your next challenge, I'd be keen to hear from you. Please apply directly or reach out for a confidential discussion.

## Description

Are you passionate about turning messy, unreliable data into trusted business assets?
We're looking for a Data Quality Analyst to play a key role in ensuring data across the organisation is accurate, complete, consistent, and fit for purpose. You'll work closely with business stakeholders, data engineers, migration teams, and governance functions to identify data quality issues, uncover root causes, and implement sustainable improvements.
Key Responsibilities:Perform data profiling and quality assessments across critical datasetsDefine and implement data quality rules and validation checksInvestigate data anomalies and conduct root cause analysisDevelop data quality metrics, dashboards, and reportingSupport data governance initiatives, stewardship processes, and data standardsCollaborate with technical and business teams to improve data quality at sourceIdentify opportunities to automate data validation and cleansing activities


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