Data analyst

3 weeks ago

England, United Kingdom NHS Arden & GEM CSU Full time

You will bring your analytical expertise to the forefront, helping to drive projects and optimise processes as part of a multi-disciplinary team.
Full time hours - 37.A fixed-term agreement to March 2025
A remote work schedule

Access the latest and most advanced technologies, empowering you to stay at the forefront of your field.
We're committed to celebrating diversity and ensuring inclusivity, where every voice matters and contributes to our collective success.

You will provide advanced analytical services to strategic healthcare projects in the form of descriptive analyses, prospective service modelling, retrospective analyses, and evaluation.
Automation of routine tasks, modelling, and analytics through the application of tools and techniques such as SQL.
Maximise the information held within existing data sets, including complex data management and manipulation – exploiting their potential in turning information into knowledge.
Work with a broad spectrum of data from a wide range of sources presenting complex and sophisticated information in a meaningful way.
To take a lead role in project delivery.

Should be proficient in Microsoft SQL Server technology.
You will have experience of using NHS data sets and conducting data analysis and statistical inference.
Have the ability to deliver at pace in supporting short term projects.
You will have excellent data manipulation and interpretation skills.
Experience of using visual analytics platforms Tableau and Power BI
Experienced in programming using Python and R
We value independent thinking and risk-taking. Our culture encourages a healthy work-life balance, and we strive to create an enjoyable and supportive working environment.
Please visit our website at if you're interested in learning more about who we are.

Our vision, mission, and values focus on diversity. Arden & GEM CSU is committed to supporting the redeployment of our at risk employees. In line with our policy, staff at risk may be given preferential consideration to posts that could be considered suitable alternative employment.

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