Details:
- Salary: £200 - 240 - Day
- Location: Norfolk
- Date: 2 weeks ago
Description:
We are working with an NHS organisation who are seeking to appoint an interim Senior Quality Analyst. The is an interim assignment for 6 months initially and will pay competitively.
Key responsibilities will include:
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Establish close links with key stakeholders to help work up and clarify the questions required of the analysis;
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Collection of datasets from various organisations and sources to support the organisation Assurance and Quality Improvement Group and Quality Group maintain system oversight and focus of quality improvement;
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Collection of datasets from various organisations and sources to support the Local Maternity and Neonatal System (LMNS) Transformation Plan;
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Work with internal stakeholders and external provider organisations to understand and interpret what and how metrics can be applied to meet the priority outcomes and inform transformation opportunities;
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Further develop the dashboard capabilities and create a web based interface that supports customer requirements;
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Use advanced modelling techniques to forecast and validate outputs with colleagues. This will involve the use of R software but training will be provided where necessary;
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Develop reports and dashboard views that allow a quality intelligence focus at system and place based view;
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Support the provision of robust information & performance analysis around patient safety, patient experience and clinical outcomes, corporate performance and strategic decision making functions;
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Provide analysis around complex datasets to ensure they are accurate and complete within agreed timescales, meeting internal and external requirements.
The ideal candidate will have:
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Educated to degree level in relevant subject or equivalent level of experience of working at a similar level in specialist area;
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Expert knowledge and experience in the use of data analytical techniques;
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High level of experience in communications and stakeholder management;
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Strong analytical experience (>4+) in project working and leading on the analytical outputs;
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Proven experience or knowledge of forecasting techniques, system dynamics or regression modelling;
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Knowledge and experience of SQL;
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Experience of using Power BI