Data Analyst NHS Counter Fraud Authority

6 days ago

London, United Kingdom NHS Counter Fraud Authority Full time

The NHS Counter Fraud Authority is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website.


Our new team are embarking on a piece of work to monitor data to identify and respond to patterns indicative of potential fraud. This will support our current work that reduces the likelihood of fraud occurring. We will bring in data science capabilities to be deployed in counter fraud activity and work closely with partners across health and government to further maximise the preventative impact of proactive counter fraud analysis. We will combine this with our range of counter fraud and domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field.


This role offers a unique opportunity to use data analysis to detect and prevent fraud within the NHS, directly impacting patient care and public funds. You'll work with advanced analytics tools like Python, R, SQL, and Alteryx to uncover hidden patterns and anomalies. Join a collaborative team where your insights drive real-world action against financial crime.


Potential applicants can contact Santosh Kumar at for an informal chat if you have any questions regarding the role. Interviews will be held on 10th March 2025.


The role of the data analyst plays a key role within the programme of work, providing comprehensive data and information expertise to the team in support of the work undertaken together within the data science and response team. The successful candidate will liaise with internal and external stakeholders to examine anomalies and patterns within data which could be indicative of fraud, being responsible for delivery of their workstream, including collating data, defining, and developing methodologies and producing actionable insight across several areas of concern.


The post holder will be required to have a NPPV2.


We have offices based in Coventry, Newcastle, and London and offer flexible, hybrid, office, and home-based working. In addition to the advertised salary, working in the London area will attract High-Cost Area Supplement where appropriate. The NHSCFA values and respects the diversity of its employees and aims to recruit a workforce which reflects our diverse communities. We welcome applications irrespective of people's age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances. We have policies and procedures in place to ensure that all applicants are treated fairly and consistently at every stage of the recruitment process, including an invitation to the first stage of the selection process and consideration of reasonable adjustments for people who have a disability. If you are applying to undertake this role on a secondment basis you should have agreement to being released from your current role in principle, prior to submitting an application form. When you apply for this role, you will be redirected to our recruitment system TRAC. The NHSCFA does not hold a sponsor licence in respect of skilled worker visas and so is unable to employ candidates requiring sponsorship.


We reserve the right to close this vacancy before the advertised closing date should we receive a significant number of applications.


  1. To work as part of the programme of work and provide support in delivering NHS CFA’s objectives.
  2. Providing an analytical service to all parts of the organisation by analysing data, interpreting, and reporting on the results.
  3. Undertaking complex statistical analyses requiring accuracy, attention to detail and frequent, prolonged periods of concentration.
  4. Communicating analytical and statistical matters to non-analytical/statistical professionals, offering advice and persuasion on statistical techniques.
  5. Dealing with statistical and analytical queries, assessing whether analyses are robust e.g., investigating data anomalies identified during analyses.
  6. Establishing deadlines and providing ongoing communication of progress to keep projects on track and on time.

Please see full Job Description and Person Specification.


This advert closes on Sunday 13 Apr 2025.

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