Data Quality Analyst
Role Profile: Data Quality Analyst
Role Purpose Responsible for ensuring data across the organisation is accurate, complete, consistent and reliable - tracking down anomalies, understanding how data flows through the business, and improving quality at source and downstream. Acts as the link between business needs and technical delivery.
Core Responsibilities
- Profile datasets against quality dimensions (accuracy, completeness, consistency, timeliness, validity) and track issues over time via dashboards
- Define and refine data quality rules with stakeholders; build automated checks into ETL/warehouse/reporting environments
- Investigate root causes of anomalies and work with system owners on fixes and longer-term prevention
- Support data governance: dictionaries, quality frameworks, stewardship and consistent data definitions
- Partner with data engineers, analysts and SMEs to embed quality controls and automate validation/cleansing
Skills & Experience
- Strong SQL for analysis, validation and investigation
- Track record delivering data quality improvement plans (regulated sector a plus)
- Familiarity with governance tools (e.g. Azure Purview)
- Experience setting data quality metrics, thresholds and dashboards
- Understanding of ETL processes and translating business rules into technical validation logic
- Clear communicator, able to explain complex findings simply
Attributes
- Curious and methodical, but delivery-focused
- Confident challenging assumptions
- Sees data quality as core to good system design, not just inspection
Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.
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