Digital Data Analyst

We are seeking an enthusiastic and dynamic individual to join our remarkable team as a Support Analyst.

The post will be based within the Commissioning branch of Information Services, operating on a hybrid basis with flexible working between home and our office base at Castle Hill Hospital.

You will aid in the timely production, submission and monitoring of the Commissioning Data Sets (CDS), which are key to the NHS Standard Contract.

This role is ideal for those looking to progress their career in an analytical discipline, with passion, aptitude, ability to work and analyse data.

As a Support Analyst, you will have a methodical approach to your work, comprehensive numerical skills and a high degree of accuracy.

Experience using hospital systems such as Lorenzo is desirable, as well as advanced software skills particularly in Microsoft Excel and Access.

You will be highly motivated, an effective communicator and enjoy working alongside people to achieve results, presenting findings, insights, and ideas in an engaging manner.

Fantastic training opportunities are available via the Skills Development Network, Udemy and the Data Analyst apprenticeship scheme.

About us:

Hull University Teaching Hospitals NHS Trust is one of the largest acute and community Partnership arrangements in the NHS, seeing over one million patients every year.

Made up of two Trusts, our Partnership has significant ambitions and is committed to delivering world-class hospital and community services for our patients.

We believe that by developing a diverse, inclusive, innovative, skilled and caring workforce, we can deliver excellent care to our patients and a great future for our employees, our Partnership and our community.

Earn £30,000 - £45,000 per annum, depending on experience, plus benefits including pension scheme, holiday entitlement and access to training opportunities.

Job responsibilities include:

• Producing, submitting and monitoring Commissioning Data Sets (CDS)
• Analysing complex data using various sources and information systems
• Providing advice to users on data definitions and standards