Public Health Intelligence Analyst | Nottinghamshire Healthcare NHS Foundation Trust
| Posting date: | 28 March 2024 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | £43,742 - £50,056 per annum pro rata |
| Hours: | Full time |
| Closing date: | 27 April 2024 |
| Location: | Nottingham, NG3 6AA |
| Company: | Nottinghamshire Healthcare NHS Foundation Trust |
| Job type: | Permanent |
| Job reference: | 6094903/186-359-24-CS |
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 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
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
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 Trust’s 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.
This advert closes on Tuesday 9 Apr 2024
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