Careerwise

Test Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Test Data Analyst focusing on data quality testing, SQL, ETL validation, and CI/CD testing. Contract length is unspecified, with a pay rate of up to £300 per day. Location is hybrid, based in London, requiring strong data governance experience.
🌎 - Country
United States
💱 - Currency
£ GBP
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💰 - Day rate
300
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🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deployment #Data Analysis #Data Ingestion #SQL (Structured Query Language) #Data Governance #Data Quality #Quality Assurance #Regression #Datasets #"ETL (Extract #Transform #Load)"
Role description
Role - Data Quality Tester - SQL, data testing, ETL validation, reporting quality assurance, CI/CD testing, and data governance experience. Up to £300 per day Location - London Office - up to 2 days a week We're looking for a Data Quality Tester to play a critical role in ensuring the accuracy, reliability, and integrity of data across a growing data platform. This position will help accelerate delivery timelines while maintaining high-quality standards across reporting and analytics. This is an excellent opportunity for someone with strong SQL, data testing, ETL validation, reporting quality assurance, CI/CD testing, and data governance experience who enjoys building quality processes from the ground up. Key requirements: • Own and enhance data quality frameworks across data ingestion, transformation, and reporting layers. • Define, implement, and maintain automated data quality rules, determining appropriate failure behaviours based on business impact. • Develop and maintain automated regression testing for business-critical reports to identify defects before deployment. • Build contract tests that validate schemas and pipeline outputs, preventing upstream changes from breaking downstream reporting. • Create and manage representative test datasets covering complex scenarios, including null values, CDC sequences, and multi-entity data. • Implement automated data assertions and quality gates within CI/CD pipelines to prevent inaccurate or incomplete data reaching production. • Define and maintain report validation baselines, including row counts, key metrics, and variance thresholds. • Investigate and reproduce data defects reported by users, converting incidents into reusable automated regression tests. • Collaborate closely with developers, analysts, and business stakeholders to translate business requirements into measurable and automated data quality controls. • Review transformation logic, SQL changes, and pull requests to ensure all critical business logic is adequately tested before release.