Job summary
We are looking for a dynamic and highly technical individual to bring their skills to fill the role of an Analyst for NHS London region's Performance Information and Regulation team.
The PIR team sits within the Operations Directorate made up of three functions:
Regional Portfolio Management Office (RPMO)
Performance Information and Regulation (PIR)
Health & Care in the Community (HCIC).
The PIR function is a blended team of individuals with a variety of skills and backgrounds. We have data scientists, developers, analysts, and programme managers covering a range of topics that sit within sub-teams consisting of In-Hospital Acute Care, Out-of-hospital Community care, Population Health Management, Workforce, Intensive support, and Regulation. This role will be for an Analyst to sit within the Out-of-Hospital side of the team.
Interviewees will be assessed on their technical and analytical skills on a software of their choosing, however the dataset will be in MS Excel. Interviewees will have to present a short case study based on the test during the interview.
The team is a hybrid working team with core offices currently in Waterloo and Canary Wharf. Please note that from Apr-25 our main office should be Canary Wharf. Work related travel may be required. Colleagues with a contractual office base are expected to be in the office on average, 40% of the time during the week (min two out of five working days).
Interview Dates and Timings to be confirmed.
Main duties of the job
Lead on analysis and create analytical tools that will help the region make organisational and strategic decisions that will improve patient care.
The post holder will:
Be working essentially with Public Health and Primary Care datasets but not exclusively.
Be a first point of contact for their specialist area to provide support and expertise.
Support managers and staff across the PIR team, the London Region the whole NHS organisation.
Engage and be part of the wider analytical community across healthcare in London and the other regions.
The post holder should have a strong analytical background:
Advanced technical analytical skills in MS Excel and be able perform statistical analysis and draw conclusions.
Intermediate to advanced skills in SQL to extract data from a variety of databases.
Experience with visualisation tools such as PowerBI or Tableau.
Knowledge of R and Python will be a bonus but not essential, although the post holder will need to have capability to learn these/other languages.
About us
The NHS England board have set out the top-level purpose for the new organisation to lead the NHS in England to deliver high-quality services for all, which will inform the detailed design work and we will achieve this purpose by:
- Enabling local systems and providers to improve the health of their people and patients and reduce health inequalities.
- Making the NHS a great place to work, where our people can make a difference and achieve their potential.
- Working collaboratively to ensure our healthcare workforce has the right knowledge, skills, values and behaviours to deliver accessible, compassionate care
- Optimising the use of digital technology, research, and innovation
- Delivering value for money.
If you would like to know more or require further information, please visithttps://www.england.nhs.uk/.
Colleagues with a contractual office base are expected to spend, on average, at least 40% of their time working in-person.
NHS England hold a Sponsor Licence; this means that we may be able to sponsor you providing the Home Office requirements are met. To be eligible for sponsorship through the Skilled Worker route you'll usually need to be paid the 'standard' salary rate of at least £38,700 per year, or the 'going rate' for your job, whichever is higher. You can find more information on the Government website.
Job description
Job responsibilities
You can find further details about the job, organisational structure, recruitment profile, expected outcomes and benefits information in the attached Job Description and other supporting documents.
Job description
Job responsibilities
You can find further details about the job, organisational structure, recruitment profile, expected outcomes and benefits information in the attached Job Description and other supporting documents.
Person Specification
Qualifications
Essential
- Educated to Degree level in a relevant subject (such as Mathematics, Economics, Statistics, Operational Research, or a related quantitative or analytical discipline) or equivalent level of qualification or significant equivalent previous proven experience in specialist area.
- Further training or significant experience in project management, financial management or supporting change management processes.
Knowledge
Essential
- Demonstrate an understanding of datasets and data sources including the quality and reliability of the data.
- Experience of triangulating data from different sources and demonstrate an appreciation of the differences that might occur in large datasets
- Experience with relevant analysis software including Microsoft Excel.
- Demonstrable specialist knowledge in a relevant discipline.
- Demonstrated experience of co-ordinating projects in complex and challenging environments.
Desirable
- Awareness in project and programme management methodologies such as Prince 2, MSP and / or Agile
- Experience of drafting briefing papers and correspondence at senior management team level.
Skills
Essential
- Evidence of familiarity with and application of statistical techniques beyond those of descriptive statistics. For example, standardisation and confidence intervals.
- Able to build and document complicated and varied types of models including forecasting models.
- Experience in using a range of statistical software such as SAS, SPSS, R, and SQL
- Clear communicator with excellent written and presentation skills; capable of constructing and delivering clear ideas and concepts concisely and accurately to a diverse and varied range of audiences consisting of internal and external stakeholders.
- Ability to prepare and produce concise yet insightful communications for dissemination to senior stakeholders and a broad range of stakeholders as required.
- Ability to analyse very complex issues where material is conflicting and drawn from multiple sources.
- Numerate and able to understand complex financial issues combined with deep analytical skills.
- Demonstrated capabilities to manage own workload and make informed decisions in the absence of required information, working to tight and often changing timescales.
Desirable
- Technical skills in data management, business intelligence and analytics - including data modelling, data visualisation (e.g., Tableau and Qlik) and data blending (e.g., Alteryx and SSIS) along with other supporting tools (e.g., Microsoft BI stack)
Person Specification
Qualifications
Essential
- Educated to Degree level in a relevant subject (such as Mathematics, Economics, Statistics, Operational Research, or a related quantitative or analytical discipline) or equivalent level of qualification or significant equivalent previous proven experience in specialist area.
- Further training or significant experience in project management, financial management or supporting change management processes.
Knowledge
Essential
- Demonstrate an understanding of datasets and data sources including the quality and reliability of the data.
- Experience of triangulating data from different sources and demonstrate an appreciation of the differences that might occur in large datasets
- Experience with relevant analysis software including Microsoft Excel.
- Demonstrable specialist knowledge in a relevant discipline.
- Demonstrated experience of co-ordinating projects in complex and challenging environments.
Desirable
- Awareness in project and programme management methodologies such as Prince 2, MSP and / or Agile
- Experience of drafting briefing papers and correspondence at senior management team level.
Skills
Essential
- Evidence of familiarity with and application of statistical techniques beyond those of descriptive statistics. For example, standardisation and confidence intervals.
- Able to build and document complicated and varied types of models including forecasting models.
- Experience in using a range of statistical software such as SAS, SPSS, R, and SQL
- Clear communicator with excellent written and presentation skills; capable of constructing and delivering clear ideas and concepts concisely and accurately to a diverse and varied range of audiences consisting of internal and external stakeholders.
- Ability to prepare and produce concise yet insightful communications for dissemination to senior stakeholders and a broad range of stakeholders as required.
- Ability to analyse very complex issues where material is conflicting and drawn from multiple sources.
- Numerate and able to understand complex financial issues combined with deep analytical skills.
- Demonstrated capabilities to manage own workload and make informed decisions in the absence of required information, working to tight and often changing timescales.
Desirable
- Technical skills in data management, business intelligence and analytics - including data modelling, data visualisation (e.g., Tableau and Qlik) and data blending (e.g., Alteryx and SSIS) along with other supporting tools (e.g., Microsoft BI stack)
