Data Quality Analyst
| Posting date: | 24 September 2025 |
|---|---|
| Salary: | £31,049.00 to £37,796.00 per year |
| Additional salary information: | £31049.00 - £37796.00 a year |
| Hours: | Full time |
| Closing date: | 08 October 2025 |
| Location: | Wigan, WN1 1XX |
| Company: | NHS Jobs |
| Job type: | Contract |
| Job reference: | C9302-25-0481 |
Summary
To take a lead role in the implementation and monitoring of reporting mechanisms to improve Management Decision Making process. To lead in the provision of data intelligence and advice to the Divisional Director of Performance, Divisional Clinical Director, Performance Managers, Divisional Heads of Department and other managers within the relevant Directorates. To collaborate with the Divisions in their annual performance, business and commissioning planning processes. Meet with stakeholders to ensure that any potential opportunities or issues are identified early enough for action to be effective. To have responsibility for any intelligence produced, validated or submitted by the post holder and within the team under their direction. To support the quality and safety improvement within the division by providing analysis and guidance on measurement, reporting and data capture requirements. Integrate into the associated division / function and work alongside performance leads, clinicians, managers, accountants to fully understand their requirements. In collaboration with the Division, produce and review regular monthly assurance reports. Provide advice and support to divisional staff to aid interpretation of the reports and alerts to key managers with regards to anomalies and adverse variances. Liaise with the accountants to ensure a full understanding of activity issues affecting financial performance in order that the divisions can be supported with appropriate intelligence in understanding pertinent action and decisions necessary to rectify poor performance. Play a key role in obtaining divisional agreement and ownership of performance targets. Set the standard for reporting of activity and performance, as well as reporting styles and formatting for the other DAA Analysts to follow. Undertake constant horizon scanning to keep ahead of what is coming next to be prepared and aware of any business opportunities through review of benchmarking tools, advising and support the division / Trust accordingly. Produce sensitive and confidential data for ad-hoc requests. Liaising with other departments and outside agencies to ensure that all deadlines, particularly tight deadlines, are met. Perform complex patient based analyses from Trusts systems to tight deadlines. To use the tools provided primarily by (but not restricted to) the data warehouse. Interpretation of national guidance/definitions and instigate and oversee the implementation of changes to the data warehouse. Support the data quality responsibilities of business intelligence projects through the identification of data anomalies, provision of appropriate analyses and participation in investigations / audits. Attend / participate in Trust training programmes, both within the department and with multi-disciplinary audiences. To be aware of national developments within the NHS and the wider business intelligence community, and lead on ensuring the department stays up to date in actioning to its reporting. Provide training sessions on a group or individual basis as and when required. Work with users to resolve problems and issues with Business Intelligence reporting. Work with clients in developing new BI reporting solutions and ensuring effective capture of end user requirements. Document all procedures and work closely with Digital Teams to ensure the ongoing improvement in Trust recording and configuration of systems. Support and promote the Trusts DAA Strategy. Produce and safeguard sensitive and confidential data for ad-hoc requests. Liaise with other departments and outside agencies to ensure tight deadlines are met. Research and drive innovation, and where possible, explore automated approaches for BI reporting. Assist with the identification of efficiencies, while being able to understand and explain the potential knock-on effect to quality and performance. Provide the wider Trust with expert knowledge and understanding of the Trusts datasets, with the ability to explain the connection to operational processes.