Job Description

We have an opportunity for a data and information analyst to join our client NHS Digital. These are long-term temporary roles to start asap

If you have experience of working within data/information analysis or recently graduated in a course which frequently required data/information analysis this may be the role for you

These roles offer great progression opportunities once established within the team. Please see the role below:

NHS Digital - Information Analyst

Location - Leeds (Successful Candidate would need to be in the Leeds office for around 3 days per week, in accordance with NHS Digital's hybrid working arrangements

Salary - £13.12 per hour

Hours - Monday - Friday (37.5 Hours)

Duration - Temporary contract until March 2023 possibility for review for extension and possibility to apply for permanent positions within the NHS

To work as part of a multidisciplinary team of analysts in the Prescribing and Medicines Analysis team. The Prescribing and Medicines team are funded through GIA to deliver analytical insight based on the following data collections:

• Medicines dispensed in primary care (NHS BSA data)
• Electronic Prescribing and Medicines Administration (EPMA) data in Secondary Care for COVID-19

The purpose of these collections is to enable key aspects of the provision of medicine services across England to be assessed at both a national, regional and local level, utilising our published, quality assured reports.

The Role:

• Process prescribing and medicines datasets on receipt and carry out initial validation checks
• Support colleagues in performing DQ tasks, data analysis and report production
• Support colleagues in all post-production tasks
• Develop technical skills and subject matter expertise to support efficient, high quality reporting
• Support colleagues across the prescribing team to provide a flexible service
• Contribute to the development of a knowledge base for all publications, including the Knowledge Hub
• Contribute to recoding all prescribing processes in Python, SQL or R, in readiness for SAS exit
• Lead by example on implementing Reproducible Analytical Pipelines (RAP) within the prescribing team, working closely with the graduate placement to achieve this
• Present knowledge/findings to team on a regular basis to share learning

Skills and Experience:

• Ability to manage own workload in order to deliver to multiple conflicting priorities.
• Proficient in Python, MS-SQL server, or R, including how to execute and create complex queries that link multiple databases.
• Able to use own initiative
• Able to work as part of a team
• Knowledge and experience of how to understand and interpret results from complex analysis, apply the results to the given problem and suggest conclusions to be drawn.
• Strong communication skills, both written and verbal.
• Ability to present and explain complex analysis to non-technical audience.