Job Description

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 exciting new development of the Trust's Joint Analytics for Cancer (JAC) data platform and Future Christie digital ambitions, working closely with data engineering colleagues, supporting data mapping, data 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 providing advice on best approaches for data utilisation and explaining technical data aspects to non-data experts.



When completing your application please ensure you have read the attached job description and clearly evidence how you meet the essential and desirable criteria that are indicated as being assessed via the application form - short listing will be based on this evidence and you will also be asked about these should you be shortlisted for interview. After all applications have been reviewed, those applicants who have been shortlisted will be assessed via a two-stage interview process. First round of interviews 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.



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.



Designing and producing analytical and statistical outputs, incorporating data science tools and techniques, where appropriate.



Presenting findings and analytical products to a wide range of audiences.

Identifying the most applicable techniques and variables to meet the project's 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.



Any other duties commensurate with the post and grade that may be requested by Head of Analytics or ADSS Leads

Please note:

this is a hybrid role and will based on site full time initially, transitioning to working from home up to three days a week once the candidate is settled in the role.



We are a customer facing service working with all members of the organisation, Executives, consultants, administrative staff and service users. We pride ourselves on our level of service, our quality of product and our ability to communicate and translate our data into intelligence. We work closely with stakeholders to ensure we delivering what they want, we are able to communicate the most advanced analytics and statistics to wide ranging audiences and we try to make our products as interesting and informative as possible. We are forward thinking, we like to try new approaches and to find innovative solutions even to long standing problems. We like a challenge, to learn new skills and to widen our horizons at any opportunity.



Our team operate a hybrid working model, working from site a minimum of two days a week and from home up to three days a week. We are very open to and actively encourage flexible working. For this role you will be expected to be based on site full time initially, transitioning to WFH up to three days a week once settled into role.



As a team, we come together in the office one day a week to meet up, share ideas, trouble shoot and learn from each other. We are all readily contactable via Teams when working from home, both as formal meetings and informal chats and meet ups.



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 project's 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 member's 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.