Analytics Specialist
Listed on 2026-10-26
-
IT/Tech
Data Analyst
Company:
The Christie NHS Foundation Trust Salary: £49,387 - £56,515 Per annum, Pro rata
Hours:
Full-time
Location:
Manchester, M20 4BX
Job type:
Contract Posting date: 15 Oct 2026 Closing date: 14 Nov 2026
This is an exciting opportunity to become a senior analyst within the Clinical Outcomes and Data Unit at The Christie – one of Europe’s leading cancer hospitals. The unit’s members include analytics, statistics, information governance, audit, and research; working together to use real-world data to improve cancer care. As an analytics specialist you will be the assigned analyst to key projects across the organisation, all working to improve the experience and outcomes of our patients.
You will work closely with colleagues to identify the best way of providing insight into clinical and operational data.
In addition to leading on key projects, the post holder will work with other analytics specialists to manage requests for support made to the unit. You should be confident in managing workflows across a team, with strong skills in communication, negotiating and prioritising demands.
The unit strongly encourages the use of innovative approaches. You will be asked to lead on elements of our strategy involving the use of more advanced analytics methodologies and be encouraged to develop your own ideas for improvement.
DUTIES AND RESPONSIBILITIES- Working as part of a team of analytics specialists to manage the requests service. Triaging, prioritising, and delegating requests.
- Be the lead analyst assigned to support key improvement groups across the trust. Providing analytical insight and guidance to aid complex decision making.
- Designing and producing Tableau dashboards and statistical reports, incorporating data science tools and techniques, where appropriate.
- Presenting findings and analytical products to a wide range of audiences (technical and non-technical), including methodologies and recommendations where appropriate.
- Identifying the most applicable techniques and variables to meet the customer’s needs, investigating conflicting information.
- Investigating outliers and data quality issues. Generate data quality reports and advise on the implications of poor data quality.
- Completing project documentation and delivering projects to agreed specifications.
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