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Analytics Specialist with Data Science
| Posting date: | 07 January 2026 |
|---|---|
| Salary: | £47,810.00 to £54,710.00 per year |
| Additional salary information: | £47810.00 - £54710.00 a year |
| Hours: | Full time |
| Closing date: | 09 January 2026 |
| Location: | Manchester, M20 4BX |
| Company: | NHS Jobs |
| Job type: | Contract |
| Job reference: | C9413-26-0008 |
Summary
DUTIES AND RESPONSIBILITIES The post holder will: Being the lead analyst assigned to support the JAC and Future Christie deliverables: Providing analytical insight and guidance to aid complex decision making.Working with DE colleagues on mapping, cataloguing and data quality evaluation and reporting.Investigating outliers and data quality issues,Generating data quality reports and advise on the implications of poor data quality.Providing data and analytical expertise to inform the procurement of the new JAC data platform.Providing insight into the impact and resources needed to transition to the new platform, ensuring the needs of CODU and ADSS are fully considered and met. Manage their own other day-to-day activities including: Designing and producing 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 projects needs, investigating conflicting information.Completing project documentation and delivering projects to agreed specifications.Working as part of the ADSS team of analytics specialists to manage data and statistical/data science requests. Triaging, prioritising, and delegating requests. Recommend and lead on delivering improvements in reporting, software, or other systems. Particularly where the improvements contribute to the performance of the system or accuracy of data. Be an expert in the trusts reporting requirements and support this function. Identify and lead on opportunities to improve efficiency and accuracy of reporting. Lead on key projects with data engineering to improve the data repository, escalating where changes may impact on analyst products. Post holder must be adept at researching and understanding complex, multi-departmental clinical data flows. Test own work and peer-review team members work. Prioritise and plan own work appropriately. Explore and stay up to date with various analytics and data science techniques, advising on those optimal for the purpose and to improve own work area. Contact customers and digital colleagues, dealing with issues associated with access to data. Deliver bad news to customers and stakeholders when necessary, such as delays in provision of data; suggest alternative approaches; provide support to reduce data quality issues. Be point of escalation for concerns. Act as expert at understanding problems and utilising various software to provide data insight tools using appropriate analytical techniques. With exceptional attention to detail, help ensure high quality and efficient new processes are implemented to help improve CODU functions. Work closely with other teams in digital services (software development, data engineering) to understand cross over in work streams, and potential implications. Be continuously aware of changes to working practices for colleagues across the trust. Ensure that products are amended to reflect these changes and meet expectations of stakeholders. The post holder will be responsible for the direct day to day line management of data scientists, analysts and senior analysts. Demonstrates the agreed set of values and accountable for own attitude and behaviour.