Job summary
- Main area
- Administration
- Grade
- NHS AfC: Band 8b
- Contract
- Permanent
- Hours
- Full time
- Flexible working
- Job ref
- 333-G-HC-1630
- Employer
- Central and North West London NHS Foundation Trust
- Employer type
- NHS
- Site
- South 2, Civic Centre
- Town
- Uxbridge
- Salary
- £72,719 - £83,505 per annum inc HCAS (pro rata if P/T)
- Salary period
- Yearly
- Closing
- 21/07/2026 23:59
Employer heading
Business Intelligence Lead
NHS AfC: Band 8b
CNWL (Central and North West London NHS Foundation Trust) has almost 8,000 staff providing integrated healthcare to a third of London's population, Milton Keynes and areas beyond. We involve service users, carers, the public, staff and partner organisations in the way that we are run.
Our catchment area spans diverse communities, with over 100 first languages spoken. It contains areas of great affluence as well as areas of much deprivation. We are committed to providing services that meet the needs of the people who use them, and we actively encourage involvement from local people who can help make a difference. We’re proud of our diversity and we continue to undertake new initiatives to advance equality for LGBT+, BME and people with disabilities to promote good relations and understanding between our staff.
We are recognised locally, nationally and internationally for providing high quality, innovative healthcare. We aim to employ only the best people, and our experts are frequently called upon to contribute to national health strategy and policy, and many models of our care have been adapted for use in other countries.
We offer a generous relocation package (subject to eligibility assessment) and flexible working options, including bank assignments for most roles. For more information on these and other benefits of working for us, see our Benefits, Reward and Wellbeing page
Become part of our team. We care for you as much as you care for others.
CNWL NHS Foundation Trust are committed to safeguarding all children and vulnerable adults and expect all staff and volunteers to share this commitment. We follow safe recruitment practices to protect children and vulnerable adults.
Job overview
The Business Intelligence Lead is an exciting role responsible for the development and delivery of evidence to understand the health of the Hillingdon population and to design, monitor and improve the services we provide. The role will embed a Population Health Management approach and lead on analysis and evaluation to support improvement across the Place Based Partnership.
Main duties of the job
The post holder will be working closely with the HHCP Partners BI teams, Hillingdon Council’s public health team, and colleagues and external partners across the London Borough of Hillingdon to deliver the data and analytical requirements for the various work streams that support Hillingdon priorities. The role will develop an understanding of what data, and evidence is needed by place-based teams and will design analysis plans to provide that evidence. The post holder will be expert in relevant data sources and will deliver analysis and visualisation.
The postholder will interpret results and work with programme leads to use these to propose avenues for improving health and care. They will communicate complex and technical methods and findings clearly to a range of audiences. Collaboration and partnership working is a key part of the role and the post holder will engage proactively and widely with service leads, clinicians, analysts, data holders, residents and other stakeholders and will take a collaborative approach to all their work. They will be committed to improving population health and reducing health inequalities, inquisitive about health challenges, and able to see how data and evidence can be used to address these.
Working for our organisation
The postholder will be working in the the Core team of the Place-based Partnership. The team is friendly and supportive, enjoys hybrid working opportunities, and encourages innovation and self development.
Detailed job description and main responsibilities
Strategic focus
- Provide analytical leadership and insight to support the objective of the Pace Based Partnership priorities adopting a population health management approach
- Assess the analytical needs of place-based care and design and deliver bespoke analysis to meet these needs and to review these needs on a regular basis.
- Work with partners across HHCP to set the strategy and priorities for analytical projects that deliver maximum impact
- Promote collaboration with other analysts working in the system to identify areas of joint working on analytical projects that will have impact across West and North London.
- Advise and inform directors and senior leaders in the use of evidence and analysis in decision-making, planning, performance managing, commissioning and population health management.
- Present highly complex analytical information about projects, initiatives and services to a wide range of stakeholders in a formal setting and at board level.
- Develop research which supports evidenced-based decision-making and puts resident outcomes at the heart of what the partnership does
- Set the strategic direction for using Whole System Integrated Care data to address analytical questions relevant to the work of Hillingdon Place.
Operational focus
- Co-ordinate data requirements with central data teams to promote population health data approaches and allow linked data to be used to support effective complex case management and case finding.
- Prioritise and coordinate tight and often conflicting deadlines with short-term and more involved, highly complex tasks at place and system level
- Analyse highly complex and varied datasets, using advanced data manipulation and statistical techniques and create visualisations using modern analytical tools such as R and Python. You understand the principals of reproducible analysis and progress towards delivering Reproducible Analytical Pipelines for reporting where appropriate to reduce duplication of work and ensure analytical quality.
- Work collaboratively with place-based teams to deliver analysis and insight that informs focus areas and possible interventions with a focus on narrowing health inequalities.
- Keep abreast of emerging approaches and best practice in PHM and locally implement analytical techniques to address health inequalities and focus on prevention.
- Design and deliver deep dive analysis, apply techniques such as regression analysis and age standardisation to understand the drivers of inequality and opportunities for improved healthcare.
- Support with the evaluation of initiatives, implementing a Theory of Change approach to understand the effectiveness of approaches.
- Lead on the application of predictive and advanced analytical techniques and collaborate with senior stakeholders to define the topics in an NHS system where predictive analytics will potentially bring greatest health benefits
- Work effectively with clinical colleagues and cross-functional teams to identify key improvement areas and changes in patterns and trends. Understand what the impact of possible interventions could be.
- Communicate analytical findings effectively to deliver impact for a range of audiences. You will consider how you can lead conversations to promote evidence-based decision making and promote analytically sound ways of using data with stakeholders. You will use creative and engaging communication styles and visualisation to support the communication of analytical findings.
- Be the local information subject matter expert on:
- analysis of population health, performance and activity,
- core NHS datasets including Acute, Mental health, Community, Primary care and standardised coding systems such as ICD10 and SNOMED
Leadership focus
- Manage, motivate and inspire team members, investing time in their development identifying training needs.
- Build effective relationships with colleagues at all levels through open communication and constructive feedback.
- Responsible for establishing governance, monitoring progress, managing risks and issues and ensuring business readiness for the change.
- Responsible for leading a defined set of interdependent projects and associated business change activities.
Person specification
Education and Qualifications
Essential criteria
- Educated to Masters Degree level or equivalent in an appropriate field to analytics (e.g. numerical/ quantitative - Mathematics, Statistics, Physics, Engineering or Computer Science) or significant experience of working at a similar level in specialist area.
Experience
Essential criteria
- Extensive experience in leading on collecting, analysing, interpreting and presenting data.
- Experience working with multiple large and complex datasets to design and implement analysis that provides actionable insight.
- Experience designing and applying population health management techniques to identify inequalities.
- Experience of evaluating national guidance and ability to transfer this to technical deliverables for the team and protocols for non-specialist staff.
- Experience building relationships with stakeholders to understand the analytical needs of their programmes and designing and delivering this analysis.
- Experience applying predictive analytical techniques eg risk prediction, demand forecasting, regression.
- Experience leading analytical projects from end-o-end, liaising with stakeholders and defining project tasks.
- Experience taking national policy documents and translating into analytical plans to support local deliver.
- Experience designing and delivering training for others on analytical approaches and supporting others to use data products effectively.
Desirable criteria
- Experience working with and deriving insight from ICD10 and SNOMED codes.
- Experience using Whole System Integrated Care (WSIC) platform or similar linked data resources (eg OpenSAFELY or Clinical Practice Research Datalink).
Skills and Knowledge
Essential criteria
- Data manipulation skills with ability to interpret, consolidate, and present trends and significance.
- Understanding of NHS datasets, particularly using patient level data and understanding of data quality issues.
- Knowledge of NHS data standards, the NHS data model and the data dictionary.
- Knowledge of NHS and social care datasets and key performance indicators.
- Knowledge and understanding of information governance.
- Data wrangling and visualisation skills – able to use a range of analytical tools to clean, structure and transform data and create interesting visualisations that communicate analysis effectively.
- Advanced SQL scripting skills – able to design queries to answer analytical questions.
- Coding in R/Python.
- Statistical expertise to apply techniques such as odds ratios, confidence intervals and age standardisation and explain their necessity to non-analysts.
- Ability to carry out and direct complex analysis like demand and capacity analysis, needs analysis, segmentation and regression analysis.
- Ability to operationalise and automate activities for the efficient and timely production of data products e.g. reproducible analytical pipeline (rap).
- Demonstrable skills in communication and presentation of complex concepts and information which may include difficult and controversial issues, across a wide range of audiences.
- Understanding of evaluation approaches including Theory of Change and ability to understand analysis to assess the effectiveness of interventions.
Attitudes, aptitudes, personal characteristics
Essential criteria
- Aptitude for understanding the breadth of data available and advice on how it can be used in innovative ways.
- Interest in and commitment to addressing health inequalities.
- Work across a number of different projects and manage competing demands.
Values and Behaviours
Essential criteria
- Values diversity and difference; operates with integrity and openness.
- Works well with others, is positive and helpful, listens, involves, respects and learns from the contribution of others.
- Consistently looks to improve what they do, look for successful tried and tested ways of working, and also seeks out innovation.
- Actively develops themselves and supports others to do the same.
Employer certification / accreditation badges
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Applicant requirements
The postholder will have access to vulnerable people in the course of their normal duties and as such this post is subject to the Rehabilitation of Offenders Act 1974 (Exceptions) Order 1975 (Amendment) (England and Wales) Order 2020 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service to check for any previous criminal convictions.
Documents to download
Further details / informal visits contact
- Name
- Amanda Munro
- Job title
- Associate Director of Finance & Performance
- Email address
- [email protected]
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