Job summary
A Public Health Intelligence Analyst is required to support the development of evidence based and targeted interventions to improve outcomes, optimise prevention and reduce inequalities in healthcare access, experience and outcomes for individuals and more vulnerable populations experiencing mental health issues. This includes developing our approach to how we collect and use data to better target, implement and evaluate interventions that fit the needs of our population, and work to support front line teams to understand, investigate and take effective action to reduce inequality.
This role will develop our strategy and actions for how we bring together data, evidence and evaluation to ensure continual improvement in relation to mental health services and approaches to prevention.
The role is based within the organisation's Population Health Unit and involves assisting with the day-to-day work within this team. The work of the team is varied and includes statistical analysis and producing reports and dashboards that help staff understand their data. The team has a strong belief in the power of open source to accelerate learning in the NHS and the post holder will be able to open source some of their code as well as contributing to relevant open-source projects. The role also supports the wider function of the Trust in public health specialist training and its population health management responsibilities across its Integrated Care Board (ICB) footprint.
Main duties of the job
Main duties of the role include, but are not limited to:
- Lead analytical work to support identification of interventions that are likely to have the greatest impact in relation to mental health
- Provide intelligence based on triangulation of data, including research evidence and local intelligence, to identify inequalities in service access and outcomes
- Lead analytical projects evaluating the impact of interventions, working with partners to agree appropriate outcomes and identify data requirements
- Produce analyses of data using appropriate statistical techniques, including public health and epidemiological focused analyses
- Provide support for analysis and intelligence interpretation, offering clear explanations of statistical methodologies used
- Identify gaps in the current evidence base and propose priorities for locally focused research and evaluation
- Identify gaps in staff knowledge and skills in relation to evidence-based decision making and Population Health Management, developing and delivering training as required
- Produce and present reports at senior level across both Nottinghamshire Healthcare NHS Foundation Trust and the ICS to inform decision making
- Deploy reports and dashboards to assist with ongoing project work within the department
- Use open source programming, such as R/Python, to carry out analysis to allow transparent and reproducible outputs
About us
Nottinghamshire Healthcare employs over 10,000 colleagues who help #MakeADifference every day. We provide intellectual disability, mental health, community health, forensic and offender healthcare services across Nottinghamshire, Leicestershire, Lincolnshire and South Yorkshire. Care is delivered from over 120 sites within the community from acute settings and across low, medium and high secure environments including prisons.
As one of the largest mental health and community trusts in the East Midlands and one of the biggest employers in Nottinghamshire. We are also home to national and regional services such as the National High Secure Deaf Service and the Nottingham Centre for Transgender Health.
We are committed to flexible and agile working, including the opportunity to join our bank.
Your health and wellbeing is our priority and as such we invest significantly in this via our in-house Occupational Health Service, Staff Counselling Service and Health and Wellbeing Team.
We offer a number of employee-led staff networks, including Equality, Diversity and Inclusion (EDI) groups, our Green Champions Network, Freedom to Speak Up Network. Health and Wellbeing Champions Network and Menopause Champions. We provide care to a diverse range of communities and are passionate about supporting diversity and inclusion in the Trust.
If you believe in our values of Trust, Honesty, Respect, Compassion and Teamwork, then we would love to hear from you!
#TeamNottsHC
Job description
Job responsibilities
This post is based within the Population Health Unit of Nottinghamshire Healthcare NHS Foundation Trust. The Population Health Unit is a specialist analytical unit set up within Nottinghamshire Healthcare NHS Foundation Trust with a remit to analyse a range of Trust and regional data using public health, epidemiological, statistical, and machine learning methods. The team advocates the use of open-source programming approaches to produce robust and reproducible reports. It also contributes to and supports the vital work of the Trusts main Applied Informatics team.
Further to the duties outlined above, this position includes the following responsibilities:
Communication:
- Liaise and negotiate with internal and external customers to meet information requirements in an efficient and cost-effective way
- Use statistical and modelling techniques appropriate to the audience to present information and concisely communicate findings
- Present, interpret and explain complicated statistical and analytical theories/models to large groups at meetings and presentations
- Turn data analyses into clear and compelling messages and present those analyses with visualisations to communicate complex messages to a varied audience
Analytical skills and knowledge:
- Apply skills and ability to use data and information to make robust recommendations for service and system change
- Use of skills in development, maintenance, and collaboration on code-base projects using relevant programming languages and tools, such as Git
- Analysis of public health interventions, including utilising data and evidence from a range of diverse and different sources, some of which may be contentious
- Analyse and interpret data to make evidence-based recommendations to a range of stakeholders
- Analyse and interpret qualitative data and use evidence from qualitative studies, expert opinions, lived experience and national and local policies to support decision making
- Apply judgement when making recommendations to guide use of local resources to optimisation to improve outcomes
- Advanced skills with SQL and R/Python or other statistical programming environment
Planning and organisation:
- Ability to work in an autonomous way, planning and organising tasks effectively for own work and occasionally others, including making short term adjustments to plans in response to changing workloads and priorities.
- Manage workload and competing demands effectively and to prioritise tasks and areas of work, including prioritising and handling urgent requests and assisting other members of the team.
- Take responsibility for own workload and tasks as agreed with the Senior Data Scientist.
- Self-motivated and ability to work effectively autonomously, providing progress reports, reprioritising competing demands and completing work within timelines agreed between stakeholders and the team.
Research and continuous personal development:
- Keep up to date with best practices in the technical field in order to enable the department to improve the way in which it carries out analysis and uses intelligence.
- Communicate and share knowledge of best practices and ways of working throughout the department.
- Mentor other staff in technical areas to support development of skills.Where appropriate, identify gaps in the research evidence and make recommendations for prioritisation of local research and evaluation.
- Regularly undertaking R&D activities; researching new technologies and specialised technical areas, write papers and leading industry concepts and processes to support continuous improvement.
- Influence key decision makers on technical matters.
Job description
Job responsibilities
This post is based within the Population Health Unit of Nottinghamshire Healthcare NHS Foundation Trust. The Population Health Unit is a specialist analytical unit set up within Nottinghamshire Healthcare NHS Foundation Trust with a remit to analyse a range of Trust and regional data using public health, epidemiological, statistical, and machine learning methods. The team advocates the use of open-source programming approaches to produce robust and reproducible reports. It also contributes to and supports the vital work of the Trusts main Applied Informatics team.
Further to the duties outlined above, this position includes the following responsibilities:
Communication:
- Liaise and negotiate with internal and external customers to meet information requirements in an efficient and cost-effective way
- Use statistical and modelling techniques appropriate to the audience to present information and concisely communicate findings
- Present, interpret and explain complicated statistical and analytical theories/models to large groups at meetings and presentations
- Turn data analyses into clear and compelling messages and present those analyses with visualisations to communicate complex messages to a varied audience
Analytical skills and knowledge:
- Apply skills and ability to use data and information to make robust recommendations for service and system change
- Use of skills in development, maintenance, and collaboration on code-base projects using relevant programming languages and tools, such as Git
- Analysis of public health interventions, including utilising data and evidence from a range of diverse and different sources, some of which may be contentious
- Analyse and interpret data to make evidence-based recommendations to a range of stakeholders
- Analyse and interpret qualitative data and use evidence from qualitative studies, expert opinions, lived experience and national and local policies to support decision making
- Apply judgement when making recommendations to guide use of local resources to optimisation to improve outcomes
- Advanced skills with SQL and R/Python or other statistical programming environment
Planning and organisation:
- Ability to work in an autonomous way, planning and organising tasks effectively for own work and occasionally others, including making short term adjustments to plans in response to changing workloads and priorities.
- Manage workload and competing demands effectively and to prioritise tasks and areas of work, including prioritising and handling urgent requests and assisting other members of the team.
- Take responsibility for own workload and tasks as agreed with the Senior Data Scientist.
- Self-motivated and ability to work effectively autonomously, providing progress reports, reprioritising competing demands and completing work within timelines agreed between stakeholders and the team.
Research and continuous personal development:
- Keep up to date with best practices in the technical field in order to enable the department to improve the way in which it carries out analysis and uses intelligence.
- Communicate and share knowledge of best practices and ways of working throughout the department.
- Mentor other staff in technical areas to support development of skills.Where appropriate, identify gaps in the research evidence and make recommendations for prioritisation of local research and evaluation.
- Regularly undertaking R&D activities; researching new technologies and specialised technical areas, write papers and leading industry concepts and processes to support continuous improvement.
- Influence key decision makers on technical matters.
Person Specification
Qualifications
Essential
- Master's level in a related numerate subject, such as statistics, science or health-related field
- Relevant Continuing Professional Development
Desirable
- Post graduate qualification or equivalent relevant experience
- Master of Public Health Qualification
Training
Essential
- Worked within a public health team or relevant setting
- Training in relation to epidemiology and quantitative and qualitative research methods
Desirable
- Training in the use of R/Python or equivalent
- Familiar with population health management approaches
Experience
Essential
- Working in the area of Public Mental Health
- Leading & delivering analysis, evaluation and/or health needs assessments to inform decision making
- Writing and maintaining code, especially SQL and R/Python, for data analysis
- Experience of statistical analysis
- Preparing public health and epidemiological focused analyses and reports
- Making recommendations based on robust evidence
Desirable
- Reproducible reporting
- System level working, working across a number of partner organisations
- Working within local ICB structure
- NHS information systems, particularly patient information systems such as RiO/SystmOne
Knowledge
Essential
- knowledge of epidemiological and statistical methodology
- knowledge of public Mental Health and of population health management
- knowledge of service evaluation
Desirable
- Knowledge of public health and epidemiological approaches
- Knowledge of health economics in assessing cost-effectiveness and value for money of public health interventions
Skills
Essential
- Identify, extract and analyse data to produce intelligence that can be used to make robust recommendations for service and system change.
- Numerical & statistical skills
- Skills with SQL & R/Python, or similar, for data analysis
- Ability to identify and fix bugs in code
- Strong team working skills
- Ability to manage own workload
- Build positive relations within and outside the organisation
- Excellent written and verbal communication skills
Desirable
- Ability to write documentation and deliver training
Contractual Requirements
Essential
- Ability to travel to other Trust sites
- Requirement to concentrate for long periods
Values & behaviours
Essential
- Act in line with Nottinghamshire Healthcare NHS Foundation Trust Values
- demonstrate an understanding of and commitment to Equality, Diversity and Inclusion (EDI) and how it applies to their role
Person Specification
Qualifications
Essential
- Master's level in a related numerate subject, such as statistics, science or health-related field
- Relevant Continuing Professional Development
Desirable
- Post graduate qualification or equivalent relevant experience
- Master of Public Health Qualification
Training
Essential
- Worked within a public health team or relevant setting
- Training in relation to epidemiology and quantitative and qualitative research methods
Desirable
- Training in the use of R/Python or equivalent
- Familiar with population health management approaches
Experience
Essential
- Working in the area of Public Mental Health
- Leading & delivering analysis, evaluation and/or health needs assessments to inform decision making
- Writing and maintaining code, especially SQL and R/Python, for data analysis
- Experience of statistical analysis
- Preparing public health and epidemiological focused analyses and reports
- Making recommendations based on robust evidence
Desirable
- Reproducible reporting
- System level working, working across a number of partner organisations
- Working within local ICB structure
- NHS information systems, particularly patient information systems such as RiO/SystmOne
Knowledge
Essential
- knowledge of epidemiological and statistical methodology
- knowledge of public Mental Health and of population health management
- knowledge of service evaluation
Desirable
- Knowledge of public health and epidemiological approaches
- Knowledge of health economics in assessing cost-effectiveness and value for money of public health interventions
Skills
Essential
- Identify, extract and analyse data to produce intelligence that can be used to make robust recommendations for service and system change.
- Numerical & statistical skills
- Skills with SQL & R/Python, or similar, for data analysis
- Ability to identify and fix bugs in code
- Strong team working skills
- Ability to manage own workload
- Build positive relations within and outside the organisation
- Excellent written and verbal communication skills
Desirable
- Ability to write documentation and deliver training
Contractual Requirements
Essential
- Ability to travel to other Trust sites
- Requirement to concentrate for long periods
Values & behaviours
Essential
- Act in line with Nottinghamshire Healthcare NHS Foundation Trust Values
- demonstrate an understanding of and commitment to Equality, Diversity and Inclusion (EDI) and how it applies to their role
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
Additional information
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
