Analytics Specialist with Data Science | The Christie NHS Foundation Trust

This is an exciting opportunity to join The Christie’s Clinical Outcomes and Data Unit (CODU) as an Analytics Specialist with Data Science. Along with Analytics, Data Science and Statistics (ADSS) colleagues, you will provide dedicated support for the development of the Trust’s Joint Analytics for Cancer (JAC) data platform and Future Christie digital ambitions, working closely with data engineering colleagues to support data mapping, cataloguing and data quality improvement, utilising NLP and machine learning methods to help deliver the JAC and Future Christie 5‑year plan.

As a data expert you will interpret information from multiple health care systems, provide advice on optimal data utilisation and explain technical data aspects to non‑data experts.

When completing your application, please read the attached job description and clearly evidence how you meet the essential and desirable criteria indicated for assessment via the application form – shortlisting will be based on this evidence. Shortlisted applicants will be assessed via a two‑stage interview process. The first round will be virtual and involve a technical test. The second round will be an in‑person interview held at our Withington site; a virtual option will not be offered for the second round.

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• Provide analytical insight and guidance to aid complex decision making.
  
• Work with data engineering colleagues on mapping, cataloguing and data quality evaluation and reporting.
  
• Investigate outliers and data quality issues.
  
• Generate data quality reports and advise on the implications of poor data quality.
  
• Provide data and analytical expertise to inform the procurement and transition to the new JAC data platform.
  
• Design and produce dashboards and statistical reports, incorporating data science tools and techniques where appropriate.
  
• Present findings and analytical products to a wide range of audiences, both technical and non‑technical, and provide methodologies and recommendations.
  
• Identify the most applicable techniques and variables to meet project needs, investigating conflicting information.
  
• Complete project documentation and deliver projects to agreed specifications.
  
• Manage data and statistical/data‑science requests within the ADSS team, triaging, prioritising and delegating where appropriate.
  
• Recommend and lead on delivering improvements in reporting, software or other systems to enhance performance and data accuracy.
  
• Be an expert in the Trust’s reporting requirements, supporting this function and leading opportunities to improve efficiency and accuracy.
  
• Lead key projects with data engineering to improve the data repository, escalating changes that may impact analyst products.
  
• Research and understand complex, multi‑departmental clinical data flows.
  
• Test own work and peer‑review team member’s work.
  
• Prioritise and plan work appropriately.
  
• Explore and stay up to date with analytics and data‑science techniques, advising on optimal methods to improve own work area.
  
• Contact customers and digital colleagues to address data access issues, deliver difficult information when necessary, suggest alternative approaches, and provide support to reduce data quality problems. Serve as point of escalation for concerns.
  
• Utilise appropriate analytical techniques and software to provide data insight tools.
  
• Ensure high quality and efficient new processes are implemented with exceptional attention to detail.
  
• Collaborate closely with digital services teams (software development, data engineering) to understand cross‑over work streams and potential implications.
  
• Maintain awareness of changes to working practices across the Trust and adjust products accordingly to meet stakeholder expectations.
  
• Direct day‑to‑day line management of data scientists, analysts and senior analysts.
  
• Demonstrate the agreed set of values and be accountable for personal attitude and behaviour.
  

This is a hybrid role, initially based full time on site and transitioning to working from home up to three days a week once you are settled into the role. We operate a hybrid working model, requiring presence on site minimum two days a week and allowing up to three days a week working from home. The team meets in the office one day a week to collaborate and is readily accessible via Teams for both formal and informal communication.

This advert closes on Thursday 1 January 2026.