Job summary
This post is for a Data Analyst to join a progressive and
innovative Data and Insights team within South Yorkshire Integrated Care Board.
We are looking to recruit a Band 6 analyst who is
passionate about data and making a difference to the lives of our patients and ensuring
the organisation makes good data driven decisions.
This role is one of four Band 6 analysts who each lead on a
portfolio area and provide subject matter expertise into our projects and
products.
We welcome candidates who have an interest or expertise in performance
level corporate reporting and/or have a good grasp of key NHS datasets (SUS,
RTT, ERS etc ). We expect candidates to have a range of technical skills to
analyse and present data.
This post will include responsibility for line management
of an Associate Data analyst and will work alongside other members of the team to
create and deliver insights as required as part of our Data and Insights Strategy.
Main duties of the job
We are a values-based team and promote a culture of
openness and learning where each individual contributes to the success of the
team how the team works and how we best meet the needs of our colleagues and
stakeholders.
This role will expose you to a wide number of datasets and
technical tools as well as various partners across different organisations
including Public Health, Secondary care, Primary Care and Community and many
more working to improve the lives and health of the people of South Yorkshire.
The role is 37.5 hours and will involve a hybrid working
model with time spent at our Eyre Street site in Sheffield, home working and
may include travel to our sites across South Yorkshire in Barnsley, Rotherham,
and Doncaster or external meetings at our partner sites.
Interviews: 1st August 2024
About us
NHS South Yorkshire Integrated Care Board oversees health
and social care for a population of 1.4m people. Working through our four places, Barnsley, Doncaster, Rotherham, and Sheffield, we are building on the
strengths, capacity and knowledge of all those directly involved with our local
communities to deliver our four key aims of Improving outcomes in
population health and healthcare; Tackling inequalities in outcomes, experience
and access; Enhancing productivity and value for money; and Helping the NHS
support broader social and economic development.
Our near 1,000 staff are committed to addressing the broader
health, public health, and social care needs of the population across South
Yorkshire through our values of One Team, Empowered and Innovative. We work as a key partner with the
Integrated Care Partnership (ICP) of health and care providers within the South
Yorkshire Integrated Care System (ICS) to collectively deliver health and care
services that meet the needs of the local population. In total there are 186 GP
practices in the region, 72,000 health and social care professionals working
across seven NHS trusts and four local authorities, and a further 6,000
voluntary, community and social enterprise sector (VCSE) organisations. We work
alongside all these colleagues through local councils, our VCSE
partners and other partners to address health inequalities and wider
determinants of health in South Yorkshire.
Job description
Job responsibilities
You should be collaborative and proactive, working on a wide variety of projects using a range of analytical skills and methodologies.
- Co-produce products with stakeholders and colleagues to deliver high-quality, well-presented outputs to ensure evidence-based decisions can be made.Undertake data quality assurance and data cleansing and adhere to Information Governance standards.
- Apply Agile principlesand can work in a fast-paced, evolving environment, using an iterative method and flexible approach to enable rapid delivery.
- Contribute to the maintenance and enhancements of our routine outputs looking for ways to innovate for improvement.
- Show commitment to personal development and willingness to learn new approaches and techniques that benefit your role or that of the team.
If you have used any Artificial Intelligence (AI) programmes, such as ChatGTP, to support your application, please declare this at the start of your supporting statement.
Job description
Job responsibilities
You should be collaborative and proactive, working on a wide variety of projects using a range of analytical skills and methodologies.
- Co-produce products with stakeholders and colleagues to deliver high-quality, well-presented outputs to ensure evidence-based decisions can be made.Undertake data quality assurance and data cleansing and adhere to Information Governance standards.
- Apply Agile principlesand can work in a fast-paced, evolving environment, using an iterative method and flexible approach to enable rapid delivery.
- Contribute to the maintenance and enhancements of our routine outputs looking for ways to innovate for improvement.
- Show commitment to personal development and willingness to learn new approaches and techniques that benefit your role or that of the team.
If you have used any Artificial Intelligence (AI) programmes, such as ChatGTP, to support your application, please declare this at the start of your supporting statement.
Person Specification
Qualifications
Essential
- Education to a post graduate diploma level in a numerate discipline, or an equivalent level of knowledge.
Desirable
- Government Statistical Group Membership.
Skills and Competencies
Essential
- Excellent oral and written communication skills, with the ability to choose content and style to suit the audience, including large groups.
- Able to work within a team under guidance from senior colleagues, able to work on own initiative as well as a member of a team, able to work across teams. Able to communicate effectively with both external and internal customers and colleagues to understand the work required and present or explain work completed.
- Ability to manage a small team and prioritise own and staffs work in line with organisational priorities.
- Ability to learn rapidly to use new analytical techniques to a high standard.
- Competent in setting direction: understands where own and teams work fit in with wider organisational priorities and can manage the work of others. Takes positive actions to implement new ideas. Examines complex information to make accurate decisions.
- Competent in data analysis: uses appropriate statistical, data science and/or methodological knowledge to achieve a specific end goal. Able to analyse complex datasets, apply statistical curiosity and draw evidence-based conclusions delivering highly accurate datasets.
- Understands customer needs and how to acquire data: aware of data sources available in own area and makes best use of existing data.
- Proactively engages with customer sharing knowledge of existing data sources. Able to present and disseminate data effectively through the use of tables, charts, graphs and keeps abreast of new presentation and dissemination developments. Ensures delivery of professional excellence and expertise. Identify common problems or weaknesses in policy or procedures that affect service and escalate these.
- Works in a way that promotes personal credibility which builds trust with customers.
- Is aware of own capabilities and looks to share skills with others and to expand upon them.
- Actively encourages team working. Proactively seek information, resources and support from outside own immediate team in order to help achieve results.
Experience
Essential
- Significant experience with using record level data, data analysis, and producing bespoke analytical products, including visualisations and written reports on Health and/or Care data.
- Experience of identifying and managing areas where there are shared and conflicting agendas.
- Experience of leading on projects using recognised tools (Agile, Prince2), including the allocation of work to other staff, to deliver quality outcomes to deadline and identifying risks.
- Experience of devising solutions to ensure internal specialist expertise adds demonstrable value to the wider system.
Desirable
- Experience and aptitude in using a statistical packages, e.g. SAS, SPSS or R.
Knowledge and Understanding
Essential
- Strong analytical and requirements gathering skills.
- Able to understand and interpret results from complex analysis, apply the results to the given problem and suggest conclusions to be drawn.
- Able to present and explain results of analysis via written and verbal communication.
- Advanced working knowledge and experience of databases including database interrogation tools. Advanced working knowledge of spreadsheets, with experience of making use of their wider functionality (e.g. formulae).
- Understands a wide range of data quality issues and the application of the appropriate data validation techniques.
- Knowledge of professional standards (including Code of Practice for Statistics, General Data Protection Regulation and Freedom of Information Act) and their application.
- Specialist knowledge of a variety of analytical tools and techniques, including but not limited to SQL, Python, Excel, PowerBI, R.
- Strong analytical and requirements gathering skills.
- Deep specialist knowledge or the ability to build deep specialist knowledge in at least one of the following areas:
- Statistical modelling and techniques including coding on software packages (R, Python) or Business intelligence and visual analytics to develop and standardise sophisticated interactive presentations and visualisation (using PowerBI, Tableau etc) or Data science using cutting edge technologies combined with data expertise to solve real-world problems (eg Machine Learning).
Desirable
- Experience of working in the public sector.
- Able to exhibit knowledge of relevant legislation when working with public data.
- Knowledge of using two or more of these statistical techniques; Analysis of variance, Multiple regression, Other Multivariate techniques, Stochastic processes, Time Series Analysis.
Attributes
Essential
- Able to work flexibly within situations of ambiguity.
- Is self motivated, self aware and proactive.
- Commitment to and focus on quality and meeting standards.
- Fosters good working relationships and embraces diversity & inclusion.
- Committed to professional development.
Person Specification
Qualifications
Essential
- Education to a post graduate diploma level in a numerate discipline, or an equivalent level of knowledge.
Desirable
- Government Statistical Group Membership.
Skills and Competencies
Essential
- Excellent oral and written communication skills, with the ability to choose content and style to suit the audience, including large groups.
- Able to work within a team under guidance from senior colleagues, able to work on own initiative as well as a member of a team, able to work across teams. Able to communicate effectively with both external and internal customers and colleagues to understand the work required and present or explain work completed.
- Ability to manage a small team and prioritise own and staffs work in line with organisational priorities.
- Ability to learn rapidly to use new analytical techniques to a high standard.
- Competent in setting direction: understands where own and teams work fit in with wider organisational priorities and can manage the work of others. Takes positive actions to implement new ideas. Examines complex information to make accurate decisions.
- Competent in data analysis: uses appropriate statistical, data science and/or methodological knowledge to achieve a specific end goal. Able to analyse complex datasets, apply statistical curiosity and draw evidence-based conclusions delivering highly accurate datasets.
- Understands customer needs and how to acquire data: aware of data sources available in own area and makes best use of existing data.
- Proactively engages with customer sharing knowledge of existing data sources. Able to present and disseminate data effectively through the use of tables, charts, graphs and keeps abreast of new presentation and dissemination developments. Ensures delivery of professional excellence and expertise. Identify common problems or weaknesses in policy or procedures that affect service and escalate these.
- Works in a way that promotes personal credibility which builds trust with customers.
- Is aware of own capabilities and looks to share skills with others and to expand upon them.
- Actively encourages team working. Proactively seek information, resources and support from outside own immediate team in order to help achieve results.
Experience
Essential
- Significant experience with using record level data, data analysis, and producing bespoke analytical products, including visualisations and written reports on Health and/or Care data.
- Experience of identifying and managing areas where there are shared and conflicting agendas.
- Experience of leading on projects using recognised tools (Agile, Prince2), including the allocation of work to other staff, to deliver quality outcomes to deadline and identifying risks.
- Experience of devising solutions to ensure internal specialist expertise adds demonstrable value to the wider system.
Desirable
- Experience and aptitude in using a statistical packages, e.g. SAS, SPSS or R.
Knowledge and Understanding
Essential
- Strong analytical and requirements gathering skills.
- Able to understand and interpret results from complex analysis, apply the results to the given problem and suggest conclusions to be drawn.
- Able to present and explain results of analysis via written and verbal communication.
- Advanced working knowledge and experience of databases including database interrogation tools. Advanced working knowledge of spreadsheets, with experience of making use of their wider functionality (e.g. formulae).
- Understands a wide range of data quality issues and the application of the appropriate data validation techniques.
- Knowledge of professional standards (including Code of Practice for Statistics, General Data Protection Regulation and Freedom of Information Act) and their application.
- Specialist knowledge of a variety of analytical tools and techniques, including but not limited to SQL, Python, Excel, PowerBI, R.
- Strong analytical and requirements gathering skills.
- Deep specialist knowledge or the ability to build deep specialist knowledge in at least one of the following areas:
- Statistical modelling and techniques including coding on software packages (R, Python) or Business intelligence and visual analytics to develop and standardise sophisticated interactive presentations and visualisation (using PowerBI, Tableau etc) or Data science using cutting edge technologies combined with data expertise to solve real-world problems (eg Machine Learning).
Desirable
- Experience of working in the public sector.
- Able to exhibit knowledge of relevant legislation when working with public data.
- Knowledge of using two or more of these statistical techniques; Analysis of variance, Multiple regression, Other Multivariate techniques, Stochastic processes, Time Series Analysis.
Attributes
Essential
- Able to work flexibly within situations of ambiguity.
- Is self motivated, self aware and proactive.
- Commitment to and focus on quality and meeting standards.
- Fosters good working relationships and embraces diversity & inclusion.
- Committed to professional development.