Quality Insight Senior Analyst

NHS Jobs; West of England; On-site; GBP 45,000 - 60,000; Full time

Job summary

University Hospitals Bristol and Weston NHS Foundation Trust is seeking a Quality Insight Senior Analyst to provide analytics, insight and reporting across the trust's quality portfolio, including patient safety, experience, clinical effectiveness and PROMs.

You will translate complex data into actionable insight for clinical and corporate audiences, develop dashboards using Power BI, SQL and Excel, mentor colleagues and support assurance, learning and improvement across the organisation.

Job description

The Quality Insight Senior Analyst will provide high-quality analytics, insight and reporting across the Bristol NHS Group quality portfolio, including patient safety, patient experience, clinical effectiveness, clinical audit and patient-reported outcome measures (PROMs). The post holder will work with quality subject matter experts, divisional clinical leaders and corporate teams to translate complex information into meaningful insight that supports assurance, learning, improvement and decision-making. The post holder will be part of a small and supportive team of Quality Insight Analysts led by a Senior Data Manager. Each analyst will develop expertise and take responsibility for a particular quality portfolio, while working collaboratively across the wider quality agenda. Analysts will share knowledge and analytical approaches, peer review each other's work, provide cross-cover and support one another to develop a versatile and resilient analytical service. The role will also provide mentoring and day-to-day coordination to other analysts where required, including quality assurance of analytical outputs. The role will develop and maintain high-quality dashboards, automated reporting and narrative thematic insight using tools including Power BI, SQL and Excel. The post holder will bring together information from incidents, complaints and PALS, patient surveys, clinical audit and operational data to identify themes, variation and potential risk, aligned to the NHS Patient Safety Strategy and PSIRF. Appropriate statistical approaches, including Statistical Process Control and measurement for improvement, will be used to ensure that data supports meaningful interpretation and action. A key responsibility will be translating complex analytical findings into clear, accessible and actionable insight. The post holder will adapt information for a range of clinical and corporate audiences, including frontline services, senior clinical and managerial colleagues, committees and the Board. This will include communicating sensitive information relating to areas such as patient safety incidents, complaints and risk with professionalism and using clear language and effective data storytelling. The post holder will work closely with stakeholders to understand their questions and information requirements, frame analytical questions and select appropriate methods. They will provide evidence-based options and recommendations and clearly communicate assumptions, uncertainty, data limitations and risks.

Main responsibilities

• Develop high-quality analytical products, including automated reports and dashboards using Power BI, SQL and Excel across patient safety, patient experience, clinical effectiveness, clinical audit and PROMs.
• Triangulate multiple sources of quality information, including incidents, complaints/PALS, patient survey feedback, clinical audit and operational data, to identify themes, variation, learning and risk.
• Apply appropriate statistical and improvement methods, including SPC and measurement for improvement, ensuring agreed definitions and analytical standards are applied consistently.
• Translate complex analysis into actionable insight for clinical and corporate audiences, tailoring the presentation of findings for frontline services, senior leaders, committees and Board-level audiences.
• Develop strong working relationships with Patient Safety, Patient Experience, Clinical Audit/Effectiveness, divisional and BI/Digital teams to coordinate analysis and reporting.
• Support data literacy, helping colleagues understand and appropriately interpret dashboards, measures and statistical signals such as SPC.
• Investigate data quality issues, identifying root causes and working with data owners to develop practical remediation and preventative actions.
• Lead the definition, validation and quality assurance of data pipelines and insight products, working with central BI/Digital teams responsible for enterprise platforms and integration.
• Maintain a clear delivery plan and backlog for dashboards, analytical work and improvements, agreeing priorities and timescales with senior stakeholders and balancing planned work with urgent requirements.
• Coordinate analytical inputs for statutory returns, regulatory submissions and inspection-readiness packs, ensuring information is delivered to required deadlines.
• Support quality improvement programmes, establishing baselines and measures, evaluating change and tracking the impact of actions arising from incidents, complaints and patient surveys.
• Contribute to consistent Group-wide analytical standards, definitions and shared insight products, including maintaining clear documentation, methods and standard operating procedures with audit trails and version control.
• Handle confidential and patient-level information securely, applying appropriate pseudonymisation/de-identification, disclosure controls and information governance requirements.
• Provide portfolio leadership for an allocated area such as Patient Safety, Patient Experience, Clinical Effectiveness or Quality Regulatory Assurance, acting as a subject matter contact while remaining able to work flexibly across other quality areas.
• Work collaboratively within the analyst team, sharing knowledge, supporting and mentoring colleagues, peer reviewing outputs and providing cross-cover to maintain quality and continuity across the wider portfolio.
• Explore innovative analytical approaches, including appropriately governed AI-assisted analytics such as natural language processing, text analytics, topic modelling, automated classification and anomaly detection.
• Pilots will consider accuracy, bias/fairness and explainability and include human oversight.
• Work autonomously within agreed objectives and professional standards, making day-to-day prioritisation decisions and escalating significant risks and issues appropriately.

University Hospitals Bristol and Weston NHS Foundation Trust