Analyst Specialty Transformation
Role details
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Job description
Join us as a Senior Analyst in Specialty Transformation and play a pivotal role in shaping the future of NHS specialty services., Analyse data across NHS specialty services to identify inefficiencies and opportunities for improvement, including demand, capacity, and patient flow. Develop forecasting and scenario models to support service optimisation and translate insights into practical solutions and pathway redesign.
Lead workshops with clinical and operational stakeholders, supporting data validation, insight generation, and delivery of improvement plans with clear KPIs and measurable outcomes.
Build dashboards and reports to track performance, monitor impact, and support decision-making at senior level. Work closely with Trust data teams to ensure data accuracy, quality, and integrity across multiple systems.
Communicate complex data clearly to a range of audiences, manage stakeholder expectations, and support delivery across multiple projects. Contribute to team development by sharing best practice and supporting junior analysts., lead analytics-driven improvement across NHS Trust specialty services, transforming clinical pathways to increase clinical productivity, improve efficiency and reduce waste, and enhance patient experience. You will engage directly with senior clinical and operational leaders, translating health data into actionable insights and delivering robust forecasting, predictive models, and pathway simulations. This is a highly consultative, client-facing role requiring frequent multi-day on-site engagements nationwide, partnering with clinicians and managers to design, implement, and track measurable change., * Postgraduate qualification or professional certifications in analytics, data science, improvement science, or project delivery (e.g., Lean/Six Sigma, PRINCE2/Agile) advantageous
Requirements
- Degree in a quantitative discipline (e.g., Mathematics, Statistics, Operational Research, Data Science, Health Informatics) or equivalent experience., * Extensive experience (typically 58+ years) in NHS analytics or operational research with demonstrable pathway transformation impact in NHS or comparable healthcare systems.
- Advanced capability in analytic modelling, including forecasting, predictive modelling, queuing/flow, variability reduction, and scenario simulation.
- Strong consultative approach: requirements discovery, hypothesis-led problem solving, structured story lining, and benefits realisation.
- Proficiency with SQL and one or more analytics tools (e.g., Python/R, Power BI/Tableau), including data wrangling and visualisation.
- Confident facilitator able to run workshops with clinicians and managers; excellent communication and presentation skills.
- Evidence of delivering measurable improvements in productivity, efficiency, and patient experience at specialty/service-line level.
- Comfortable operating on client sites for several consecutive days; resilient, organised, and self-directed in high-stakes environments.
- Understanding of NHS data sets (e.g., SUS, RTT/PTL, theatre, outpatient, diagnostics), information standards, and IG requirements.
- Strong understanding of activity capture into main and local systems through to SUS submission and reimbursement