East Suffolk and North Essex NHS Foundation Trust
Divisional Analyst
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About the Role
This is a fantastic opportunity to demonstrate your technical expertise as a Divisional Data Analyst within our Business Informatics team at ESNEFT.
You will be responsible for supporting the Head of Analytics, and Deputy Head of Analytics in the seamless delivery of bespoke robust business intelligence (information and performance analysis) to stakeholders across one of the Trust’s divisions. The role is one of analytical consultancy, with a core focus on the provision of bespoke analysis to operational and clinical customers by using analytical techniques which may include regular performance dashboards, demand and capacity modelling, problem structuring, statistical analysis, and responding to ad hoc queries for information and analysis.
You will be a visible presence within one of the Trust’s divisions, ensuring that operational and clinical colleagues have timely access to the insights they need to make strategical and tactical decisions.
Responsibilities
- Consult/coordinate with relevant administrative and clinical stakeholders to plan and implement the collection and submission of mandatory datasets (national or local requirements).
- Develop and maintain performance management frameworks for the division ensuring reports remain up to date, relevant and accurate.
- Working with members of the BI team to ensure local reports and national returns are submitted according to relevant timetables.
- Provide timely performance analysis to inform key meetings.
- Specify, design, and implement new processes or systems to support developing information requirements.
- Complete statistical analysis of activity to ensure robust forecasting is available to stakeholders, in line with Trust timetables, with Divisional insight.
- To develop and maintain activity planning and forecasting software/ files/ database tables.
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Qualifications and Skills
You will possess excellent communication skills, with the ability to convey complex information in an easily understood way to non-analytical audiences. Additionally, you should have hands-on experience with benchmarking tools, activity forecasting, modelling, and statistical analysis. You will have experience using analytical and programming tools/languages such as SQL and R. Moreover, your background should include working within a quality assurance framework and enabling report automation.
About ESNEFT
We are ESNEFT and we provide hospital and community health services to almost one million people across east Suffolk and north Essex. Our dedicated staff deliver care from acute hospitals in Colchester and Ipswich, community hospitals, surgeries, community clinics and in patients’ own homes.
We are the largest NHS organisation in East Anglia, employing more than 12,000 staff.
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Benefits
We pride ourselves on supporting our staff. We offer a wide range of training and development opportunities, as well as flexible working options.
Along with supporting you to achieve your career goals we offer a generous pension scheme, unsocial hours payments (where applicable), 27 days annual leave on commencement (pro rata) and access to a range of NHS discounts. Our Staff Health and Wellbeing programme offer a variety of services.
Our philosophy is that Time Matters to everyone. Across the Trust, we concentrate on improving the things we do and removing those which cause time delays for our staff and patients.
We are investing in our commitment to Time Matters with a partnership with leading electronic patient record (EPR) supplier Epic. This digital transformation will bring what’s widely regarded as the world’s best EPR system to ESNEFT, transforming life in hospital for staff and patients.
How to Apply
If you are passionate about patient care and want to develop your skills and knowledge, then we want to hear from you.
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Contact Information
For further details / informal visits contact:
- Name: Christopher Vile
- Job title: Deputy Head of Analytics
- Email address: Christopher.Vile@esneft.nhs.uk
Note
Previous applicants need not re-apply.
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