Analytics Specialist Data Science

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This is an exciting opportunity to join The Christie’s Clinical Outcomes and Data Unit (CODU) as an Analytics Specialist with Data Science. You will work with the Analytics, Data Science and Statistics (ADSS) team to support the development of the Trust’s Joint Analytics for Cancer (JAC) data platform and Future Christie digital ambitions. Your role will involve data mapping, cataloguing, quality improvement, natural language processing and machine learning to deliver the JAC and the 5‑year plan.

You will interpret information from multiple health care systems, advise on data utilisation, and explain technical aspects to non‑data experts. Applications must clearly evidence how you meet the essential and desirable criteria; short‑listing will be based on this evidence. The first interview is virtual and includes a technical test, followed by an in‑person interview at the Withington site. The role is hybrid: full‑time onsite initially, transitioning to up to three days a week remote.

• Lead analyst assigned to support JAC and Future Christie deliverables.
• Provide analytical insight and guidance to aid complex decision‑making.
• Work with Data Engineering colleagues on mapping, cataloguing and data quality evaluation/reporting.
• Investigate outliers and data quality issues.
• Generate data quality reports and advise on implications of poor data quality.
• Provide analytical expertise to inform procurement of the new JAC data platform.
• Design and produce analytical and statistical outputs, incorporating data science tools and techniques where appropriate.
• Present findings and analytical products to a wide range of audiences.
• Identify applicable techniques and variables to meet project needs and investigate conflicting information.
• Complete project documentation and deliver projects to agreed specifications.
• Manage data and statistical/data‑science requests within the ADSS team – triage, prioritise and delegate.
• Recommend and lead improvements in reporting, software or other systems to enhance performance and accuracy.
• Be an expert in the Trust’s reporting requirements and support this function.
• Lead key projects with data engineering to improve the data repository.
• Research and understand complex, multi‑departmental clinical data flows.
• Test own work and peer‑review team members’ work.
• Prioritise and plan own work appropriately.
• Stay up to date with analytics and data‑science techniques and advise on optimal methods.
• Contact customers and digital colleagues, address data access issues, deliver bad news when necessary and provide data‑quality support.
• Serve as a point of escalation for data concerns.
• Maintain high quality and efficient new processes to improve CODU functions.
• Work closely with digital services teams to understand cross‑stream implications.
• Ensure products reflect changes in working practices and meet stakeholder expectations.
• Directly line‑manage data scientists, analysts and senior analysts.
• Demonstrate the Trust’s values and maintain accountability for attitude and behaviour.

• Post‑graduate education in an informatics, scientific or mathematical discipline.
• Evidence of formal statistical training.
• Demonstrated commitment to continuing personal development.

• Certificates in database/dataflow/reporting (e.g. SQL, Microsoft server tools).
• PRINCE2 Foundation or equivalent project‑management qualification.

• Extensive experience in an analytics/data‑science role involving complex data analysis and visualisation to inform decision‑making.
• Experience querying complex relational databases, preferably with SQL Server Management Studio.
• Advanced analytical skills and statistical techniques to extract insights.
• Proficiency in programming languages for data queries and problem solving (Python, R).
• Experience using data visualisation tools/software (Tableau, Power
  
  BI, Shiny).
• Experience with data quality/integrity monitoring and improvement.
• Successful management of multiple equally important tasks.
• Senior or lead role within a project.

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