At a Glance
- Tasks: Lead data analysis to improve trauma services and patient outcomes in South Wales.
- Company: Join Swansea Bay University Health Board, a leading healthcare group in the UK.
- Benefits: Enjoy professional training, development opportunities, and a supportive work environment.
- Other info: Inclusive employer with opportunities for apprenticeships, placements, and volunteering.
- Why this job: Make a real difference in healthcare by using data to drive quality improvements.
- Qualifications: Strong analytical skills, experience with SQL, and knowledge of business intelligence tools required.
The predicted salary is between 37035 - 45265 £ per year.
Are you interested in using data to improve services and patient outcomes? This exciting role provides specialist analytical leadership for the South Wales Trauma Network, using data science, advanced analytics and business intelligence to support service improvement, research and evidence-based decision-making.
The post holder will analyse and interpret complex trauma datasets, including data from the National Major Trauma Registry (NMTR) and the Secure Anonymised Information Linkage (SAIL) Databank, developing dashboards, reports and actionable insights to support operational, managerial and strategic decision-making. Working closely with clinical, academic and operational colleagues, the role will drive quality improvement initiatives, service evaluation and research programmes that improve the delivery of trauma care and patient outcomes across South, Mid and West Wales.
The role provides specialist analytical leadership for the South Wales Trauma Network, supporting service evaluation, quality improvement, research and operational delivery through the analysis of complex trauma datasets. Working closely with clinical, operational and academic stakeholders, the post holder will develop and maintain dashboards, reports and analytical products, undertake advanced data analysis using sources including the National Major Trauma Registry (NMTR) and SAIL Databank, and generate insights to inform service planning, performance management and evidence-based decision-making.
It is essential that the post holder possesses strong analytical, data warehousing and SQL skills, together with experience in business intelligence and data visualisation tools, to deliver high-quality intelligence that supports service development and improved patient outcomes across the network.
We believe staff are our best asset and we want you to be happy and confident about starting your career here in Swansea Bay University Health Board. As one of the biggest healthcare groups in the UK we can offer a wealth of professional training and development opportunities in an innovative, forward-thinking organisation.
If you want excellent career and training opportunities while living on the doorstep of some of Europe's most spectacular scenery, with all the benefits of a thriving and cosmopolitan city - look no further.
Senior Information Analyst and Service Improvement Data Lead employer: Swansea Bay University Health Board
Swansea Bay University Health Board is an exceptional employer, offering a supportive and inclusive work environment that prioritises staff well-being and professional development. With access to outstanding training opportunities in collaboration with Swansea and Cardiff Universities, employees can thrive in their careers while enjoying the stunning natural beauty and vibrant culture of Swansea. Join us to make a meaningful impact in healthcare while living in one of the UK's most picturesque coastal cities.
Contact Details:
Swansea Bay University Health Board Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Information Analyst and Service Improvement Data Lead
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We think you need these skills to ace Senior Information Analyst and Service Improvement Data Lead
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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