Data Analyst - NHS / healthcare experience - Homebased UK

£300 Day rate (Outside IR35) - Healthcare - Analysis
Ref: 712 Date Posted: Friday 24 Sep 2021
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Suitable for: Data Analyst with NHS / healthcare, advanced SQL 

Location:  Homebased

Duration: 6 Months

Salary:  £300 Day rate (Outside IR35)

Please note that unfortunately, our client is unable to offer sponsorship

An exciting opportunity has arisen to work within the Health Analytics team as a Data Analyst where you will be using a variety of technologies to deliver population health analytics solutions for use by health and care professionals.

The ideal candidate would be an experienced NHS healthcare Data Analyst with strong technical skills.  Must be a team player with strong communication skills.


  • Minimum 2 years’ experience as a Data Analyst ideally within the healthcare sector
  • Experience of using SQL databases and writing SQL queries at advanced level for data query and manipulation
  • 2+ years’ experience of creating analytical visualisations and dashboards with Microsoft Power BI (or Tableau or Qlikview or similar)
  • 2+ years’ experience working with or as part of NHS in an analytical focused role making use NHS datasets such as Primary care, CDS, SUS, PAS and PLICS
  • 1+ years’ experience using coding methodologies such as READ, SNOMED and ICD
  • Clear understanding of data validation and interpretation techniques
  • Good numerical skills and good attention to detail
  • Experience in translating real world requirements into analytical reporting
  • Knowledge of statistical techniques and the application of data science


  • Knowledge of information governance rules and requirements within health and social care
  • Knowledge of risk stratification, population segmentation and outcomes analysis
  • Knowledge of health economics, public health and epidemiology
  • Understanding of the NHS commissioning landscape
  • Knowledge of data science, modelling, statistical analysis including R or Python
  • Knowledge of cloud environments and Microsoft Azure functionality
  • Experience of testing and quality assurance of software
  • Experience of agile development methodologies
  • Experience of handling large data volumes such s data tables over a billion records

The Data Analyst will be responsible for:

  • Working closely with the Population Health Consultants, clinicians and care professionals to design and produce analytical tools
  • Building complex but easy to use data visualisations to customer requirements using Microsoft Power BI
  • Building SQL views or stored procedures to create analytical data sets as well querying the population health data marts
  • Supporting the delivery and implementation of the population health software product into health and care organisations
  • Work on customer sites as required
  • Supporting the benefits analysis of health and care interventions
  • Train end users in the use of tools
  • Test and quality assure analytics solutions

Full job description available

To apply:  Please follow the online application process and upload your CV

Please note: You must be eligible to work in the UK for your application to be considered (sorry, our client is unable to offer sponsorship).  Due to large numbers of applications, unfortunately we cannot provide detailed feedback to everyone, however, if you wish to find out how your application is progressing please call or e-mail the office and someone will help you / get back to you

At Solo Search we take your data privacy seriously, by applying for this vacancy your data will be processed and likely stored on our secure internal systems. The lawful basis Solo Search use to process your data in regard to this application is legitimate interest and without further consent, your details will be stored for a maximum period of 12 months only. We will only ever use your data to assist you with your job search and this data will not be shared with any third party, including the client, without your explicit consent. Our full Data Privacy Policy can be viewed on our website.