Data Analyst

Data Analyst

London Full-Time 25000 - 30000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyze data to detect and prevent fraud in the NHS, using tools like Python and SQL.
  • Company: Join the NHS Counter Fraud Authority, dedicated to combating economic crime in healthcare.
  • Benefits: Enjoy flexible hybrid working, competitive salary, and a diverse, inclusive workplace.
  • Why this job: Make a real impact on patient care and public funds while collaborating with a passionate team.
  • Qualifications: Degree in IT or data-related field; experience with statistical analysis and NHS data preferred.
  • Other info: Interviews on 10th March 2025; contact Santosh Kumar for informal inquiries.

The predicted salary is between 25000 - 30000 £ per year.

Job Summary

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.

Main duties of the job

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.

About Us

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.

Date posted: 20 February 2025

Pay scheme: Agenda for change

Band: Band 5

Salary: £29,970 to £36,483 a year

Contract: Fixed term

Duration: 12 months

Working pattern: Full-time, Home or remote working

Reference number: 076-ATH-CFA031

Job locations: 7th Floor, HM Government Hub, 10 South Colonnade, Canary Wharf, London, E14 4PU

Job Description

Job responsibilities:

  1. To work as part of the programme of work and provide support in delivering NHS CFAs 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 on-going communication of progress to keep projects on track and on time.

Person Specification

Knowledge And Experience Essential:

  • Significant experience of using a range of statistical, numerical, and analytical techniques to analyse data and ability to work with NHS Specific Data, Structured and unstructured data, Dynamic ETL processes and scripts, Raw data to transform into useful formats specific to a business problem, Key transactional organisation data sets to produce products that support Performance Management Reporting and statistical insights at all levels, Key transactional organisation data sets to produce external benchmarking products, Appropriate mediums to visualise data to show compelling actionable products for internal and external stakeholders, Demonstrable experience in managing deadlines and prioritising workloads.

Desirable:

  • Significant experience of using a range of statistical, numerical, and analytical techniques to analyse data and ability to work with NHS Specific Data, Structured and unstructured data, Dynamic ETL processes and scripts, Raw data to transform into useful formats specific to a business problem, Key transactional organisation data sets to produce products that support Performance Management Reporting and statistical insights at all levels, Key transactional organisation data sets to produce external benchmarking products, Appropriate mediums to visualise data to show compelling actionable products for internal and external stakeholders, Demonstrable experience in managing deadlines and prioritising workloads, A demonstrable understanding of counter fraud strategies and policies in either the private or public sector, A demonstrable understanding of the organisational structure of the NHS, Ability to work under broad direction with work often self-initiated, Ability to influence organisation, stakeholders, peers and colleagues on the contribution of own specialism, Ability to build appropriate and effective business relationships across the NHSCFA and its stakeholders.

Qualifications Essential:

  • Degree or equivalent in an Information Technology or data specialism (or other related field) or significant equivalent experience in a comparable role.

Desirable:

  • Accredited counter fraud specialist training.

Communication Skills Essential:

  • Ability to communicate fluently, orally and in writing to present complex information to both technical and non-technical audiences, Ability to build appropriate and effective business relationships across the NHSCFA and its stakeholders, Strong presentation skills and the confidence to explain and sell complex ideas to colleagues and stakeholders, Ability to form and build working relations with a wide range of people and organisations.

Disclosure and Barring Service Check:

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details:

Employer name: NHS Counter Fraud Authority

Address: 7th Floor, HM Government Hub, 10 South Colonnade, Canary Wharf, London, E14 4PU

Employer’s website:

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Data Analyst employer: NHS Counter Fraud Authority

The NHS Counter Fraud Authority is an exceptional employer, offering a unique opportunity for Data Analysts to make a meaningful impact on patient care and public funds in the heart of London. With a collaborative work culture that values diversity and inclusivity, employees benefit from flexible working arrangements and access to advanced analytics tools, fostering both personal and professional growth. Join us to be part of a dedicated team committed to preventing economic crime within the NHS while enjoying competitive salaries and a supportive environment.
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Contact Detail:

NHS Counter Fraud Authority Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarize yourself with the specific data analysis tools mentioned in the job description, such as Python, R, SQL, and Alteryx. Consider taking online courses or tutorials to sharpen your skills in these areas, as proficiency will be crucial for your success in this role.

✨Tip Number 2

Research the NHS Counter Fraud Authority's recent initiatives and reports on fraud prevention. Understanding their current strategies and challenges will help you demonstrate your knowledge and enthusiasm during the interview process.

✨Tip Number 3

Network with professionals in the field of data analysis and counter fraud. Engaging with industry experts can provide valuable insights and potentially lead to referrals, which can significantly enhance your chances of landing the job.

✨Tip Number 4

Prepare for the interview by practicing how to communicate complex analytical concepts to non-technical audiences. This skill is essential for the role, and being able to articulate your insights clearly will set you apart from other candidates.

We think you need these skills to ace Data Analyst

Data Analysis
Statistical Techniques
SQL
Python
R
Alteryx
Attention to Detail
Data Visualization
ETL Processes
Analytical Skills
Communication Skills
Problem-Solving Skills
Stakeholder Engagement
Time Management
Understanding of NHS Data

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant experience with data analysis, statistical techniques, and any familiarity with NHS-specific data.

Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job. Emphasize your proficiency in tools like Python, R, SQL, and Alteryx, as well as your ability to communicate complex data insights to non-technical audiences.

Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data analysis and fraud prevention. Mention specific examples of how your analytical skills have led to actionable insights in previous roles.

Prepare for the Interview: If selected for an interview, be ready to discuss your analytical approach and problem-solving strategies. Prepare to explain how you would handle data anomalies and communicate findings effectively to stakeholders.

How to prepare for a job interview at NHS Counter Fraud Authority

✨Showcase Your Analytical Skills

Be prepared to discuss specific examples of how you've used statistical and analytical techniques in your previous roles. Highlight your experience with NHS-specific data and how you've transformed raw data into actionable insights.

✨Communicate Clearly

Since you'll be explaining complex data analyses to non-technical stakeholders, practice articulating your findings in a clear and concise manner. Use simple language to convey your insights and ensure everyone understands the implications.

✨Demonstrate Your Knowledge of Counter Fraud Strategies

Familiarize yourself with counter fraud strategies and policies, especially within the NHS context. Be ready to discuss how your skills can contribute to preventing fraud and enhancing financial integrity in healthcare.

✨Prepare for Technical Questions

Expect questions related to the tools mentioned in the job description, such as Python, R, SQL, and Alteryx. Brush up on your technical skills and be ready to solve problems or analyze data during the interview.

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