Overview
Senior Analyst – Specialty Transformation. Lead analytics‑driven improvement across NHS Trust specialty services, transforming clinical pathways to increase productivity, improve efficiency, reduce waste and enhance patient experience. Engage with senior clinical and operational leaders to translate health data into actionable insights and deliver forecasting, predictive models, and pathway simulations. Highly consultative, client‑facing role requiring multi‑day on‑site engagements nationwide.
Responsibilities
- Analyze 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.
Qualifications
- Degree in a quantitative discipline (e.g., Mathematics, Statistics, Operational Research, Data Science, Health Informatics) or equivalent experience.
- Postgraduate qualification or professional certifications in analytics, data science, improvement science, or project delivery (e.g., Lean/Six Sigma, PRINCE2/Agile) advantageous.
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.
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and requires a submission for Disclosure to the Disclosure and Barring Service (formerly CRB) to check for any previous criminal convictions.
#J-18808-Ljbffr…
