Data Integrity Analyst

As a Data Integrity Analyst, you will be responsible for ensuring the accuracy, consistency, completeness and reliability of data across our Online and Retail business operations. You will play a key role in maintaining trust in operational, customer, financial and regulatory reporting by proactively identifying, investigating and resolving data quality issues.

Working closely with Analytics, Product, Technology, Retail Operations, Finance, Compliance and Customer teams, you will support the implementation of data quality controls, reconciliation processes and governance frameworks that ensure business-critical data remains accurate and fit for purpose.

The role requires strong analytical skills, attention to detail and the ability to investigate complex data issues across multiple systems and platforms. You will be expected to understand data flows, identify root causes of discrepancies and work collaboratively with stakeholders to drive improvements in data quality and integrity.

Key Responsibilities

• Build relationships with stakeholders across Analytics, Technology, Retail Operations, Compliance and Finance to understand data quality challenges and requirements.
• Monitor, validate and reconcile data across online betting, gaming, retail operations, customer, financial and transactional systems.
• Investigate data anomalies, discrepancies and integrity issues, identifying root causes and coordinating corrective actions.
• Develop and maintain data quality controls, validation checks and exception reporting processes.
• Support the production and validation of operational, financial and regulatory reporting.
• Collaborate with Data Engineering and Technology teams to improve data capture, transformation and integration processes.
• Create and maintain dashboards and reporting that provide visibility of data quality KPIs and integrity metrics.
• Document business rules, data definitions, data lineage and quality standards.
• Support data governance initiatives and contribute to the development of best practices across the organisation.
• Proactively identify opportunities for automation and continuous improvement in data quality monitoring and controls.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Encourage communication and collaboration across business teams to promote a culture of data ownership and accountability.

Specialist skills and experience