
Job overview
Lancashire Teaching Hospitals NHS Foundation Trust is seeking a skilled and driven BI analyst to support delivery across a number of our key productivity workstreams. This is an exciting opportunity to join the Trust as a key member of the Business Intelligence Team, providing expert analytics to inform and shape delivery plans. You will work closely with the Associate Director of Operational Productivity, representing BI as a key stakeholder the programme team. You will have the opportunity to work across a broad range of specialities, drawing on data from a wide variety of sources and translating this into meaningful information points. The work you do will have a direct impact on operational plans and delivery, helping to shape the future of our services.
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Main duties of the job
Work as a key member of the Business Intelligence Team providing expert analytics in relation to:
- Model Service planning
- Utilisation of Capacity and Demand Modelling tools
- Utilisation of benchmarking tools to drive capacity and demand improvement
- Delivery of informatics to inform the Annual planning cycle
- Provide expert interpretation of complex data to drive performance, quality and service improvements
- Provide capacity and demand expertise and direction to the Divisional Analyst Team
- Provide proactive support to Divisional teams working to build effective working relationships
- Act as a role model within the BI team, supporting and developing colleagues to maximise their learning and potential
- Work proactively with colleagues in BI to develop reporting solutions that meet the needs of Divisions
- Work to develop triangulation tools that links demand and capacity, workforce and finance informatics
Detailed job description and main responsibilities
- Utilisation of capacity and demand tools to inform service planning and development
- Utilise national and local benchmarking tools to inform decision making
- Technical expertise
- Proactive Problem Solving
- Report Development
- Develop and maintain effective working relationships with the BI team, and wider organisation
- Actively try to resolve issues and complaints at local level and then report the outcome to the line manager
- Acts as a role model , presenting a positive image of self, team and the organisation
Applicant requirements
This post will require a submission for Disclosure to be made to check for any unspent criminal convictions.
Person specification
Knowledge & Experience
Essential
- Extensive experience of information analysis, business intelligence and reporting
- Experience of using Business Intelligence tools (e.g. Tableau, QlikView, SSRS, SQL, ETL)
- Extensive experience of analysis of NHS data flows and statutory reporting to support healthcare
- Good working knowledge of NHS information standards and definitions
- n-depth specialist knowledge of statistical/analytical/ techniques and procedures including forecasting and benchmarking techniques
- Experience of using and extracting information from a range of systems
- Experience/knowledge of issues of working with confidential information.
- High level of proficiency in analysing and presenting complex data
- Experience of working in a dynamic environment with changing priorities and challenging deadlines
Desirable
- Experience of using Capacity and Demand Tools
- Experience of using and interpreting NHS benchmarking tools and data
Qualifications & Education
Essential
- Degree in numerate / informatics or business management related subject or equivalent significant experience in delivery of the responsibilities described
- Evidence of continuous professional development
Desirable
- Managing Successful Programmes
- Formal Management / leadership training
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Applying for this NHS job
This advert is for Service Modelling Analyst with Lancashire Teaching Hospitals NHS Foundation Trust in Preston Business Centre. It is listed as a Band 7 Administrative and IT role. The advertised salary is £49,387 - £56,515 Per Annum, Pro Rata. The contract type is Fixed term: 12 months (Post is due to additional funding). The application deadline is 02 Sep 2026.
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