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

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