Quality Insight Senior Analyst

• Design and maintain dashboards and automated reporting using Power BI, SQL and Excel, applying appropriate statistical methods including SPC.
• Analyse and triangulate incidents, complaints/PALS, surveys, clinical audit and operational data to identify themes, variation, learning and risk.
• Translate complex analysis into clear, actionable insight for clinical teams, senior leaders, committees and the Board, providing expert advice on limitations, uncertainty and risk.
• Lead analytical inputs for statutory returns, regulatory submissions and inspection readiness.
• Investigate data quality issues and work with data owners and BI/Digital teams to improve data pipelines and analytical products.
• Provide analytical leadership, mentoring, peer review and quality assurance, supporting consistent Group-wide standards.
• Support quality improvement through robust measures and evaluation.
• Explore responsible AI-assisted analytics within approved governance and human oversight.
• Work with significant autonomy, making and justifying prioritisation decisions across competing demands.

• 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.

Essential

• Degree in a relevant field (e.g., statistics, data science, information management) or equivalent informatics experience
• Evidence of CPD in analytics, information management, improvement measurement, or related fields.
• Significant analytics experience validating complex data to improve organisational performance and support improvement.
• Strong SQL (or equivalent) skills for extracting/manipulating data from databases/data warehouse

Desirable

• Postgraduate qualification; analytics/statistics certification or equivalent specialist learning/experience (e.g. senior analytics practice).
• Experience with statistical or programming tools (e.g., R/Python) to enhance automation, modelling, or deeper analysis