- Company Name
- US3 Consulting
- Job Title
- Data Quality Analyst
- Job Description
-
**Job title**: Data Quality Analyst
**Role Summary**: Evaluate, monitor, and improve the reliability of organizational data through analytical assessment, governance participation, and integration of automated quality controls across the data lifecycle.
**Expectations**:
- Maintain high data integrity and accuracy for reporting, analytics, and business processes.
- Drive continuous improvement through identification, investigation, and remediation of quality defects.
- Collaborate with data owners, engineers, and business stakeholders to embed quality rules into pipelines and systems.
**Key Responsibilities**:
- Conduct detailed data profiling and quality assessments for accuracy, completeness, consistency, validity, and timeliness.
- Detect, log, and analyze recurring data defects, documenting impact and root causes.
- Design, update, and maintain dashboards and reports to track quality KPIs and trend analysis.
- Work with technical teams to embed automated quality checks in ETL pipelines, data platforms, or reporting solutions.
- Verify transformed data against business definitions and requirements.
- Investigate data exceptions, determine system or process root causes, and coordinate corrective actions with owners and system teams.
- Propose long‑term solutions to reduce recurring quality risks.
- Contribute to data governance activities: maintain data dictionaries, define quality standards, support stewardship practices.
- Provide metrics and evidence to governance forums and quality KPI reviews.
- Collaborate with data engineers, migration specialists, analysts, and SMEs to integrate quality controls into data flows.
- Identify and automate validation, cleansing, and exception handling processes.
- Develop reusable frameworks, templates, and best‑practice patterns for data quality management.
**Required Skills**:
- Proven experience leading data quality improvement initiatives in diverse sectors; regulated environment exposure is a plus.
- Strong knowledge of data profiling, assessment methodologies, and quality dimensions.
- Hands‑on SQL proficiency for data investigation, validation, and analysis.
- Practical understanding of remediation strategies, issue resolution approaches, and ETL processes.
- Ability to translate business rules into clear, testable technical validations.
- Familiarity with data governance and quality tooling (e.g., Azure Purview, Informatica DQ, Talend, etc.).
- Experience defining data quality metrics, thresholds, and performance dashboards.
- Excellent written and verbal communication skills; ability to present complex findings clearly and actionable.
**Required Education & Certifications**:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics or related field (or equivalent practical experience).
- Certifications in data quality or governance (e.g., CDMP, DQM, Certified Data Management Professional, or similar) are preferred.
Manchester, United kingdom
Hybrid
17-12-2025