Band 7 Senior Information Analyst - Pathology

Transformation Unit; Enfield; Hybrid; GBP 42,000 - 52,000; Full time

Job summary

Royal Free London NHS Foundation Trust seeks a Band 7 Senior Information Analyst for Pathology to lead data collection, analysis and reporting across clinical, operational and corporate services.

You will work with stakeholders to develop statistical and information services, support Financial Improvement Programmes, and deliver insights to enable better decision making while upholding NHS standards.

Qualifications

• Experience of NHS information systems with in-depth knowledge of how data is held on Trust’s PAS.
• Experience analysing information with success at producing capacity planning models and statistical analyses.
• Knowledge of patient pathways within primary and secondary care sector.
• Excellent verbal and written communication skills and ability to present complex issues to varied audiences.

Responsibilities

• Providing regular highlight reports of activity, spend and trends.
• Supporting FIP opportunity identification, quantification and tracking.
• Measuring the impact of test changes.
• Supporting development of Service Line Reporting for NMUH.
• Reporting to FRB, pathology clinical steering group, LECs.
• Provision of bespoke data requests.
• Supporting the development of Power BI app for pathology.
• Benchmarking pathology activity across HUs, other providers and GPs.

Skills

Communication skills

SQL querying

Relational databases

Spreadsheets

Statistical modelling

NHS data knowledge

Education

5 GCSEs including Maths and English

Master’s degree or equivalent experience

Tools

SQL (Advanced)

Job description

Band 7 Senior Information Analyst - Pathology

Band 7

Our trust has over 17,000 staff serving 2 million patients every year. It comprises Barnet Hospital, Chase Farm Hospital, the Royal Free Hospital, North Middlesex University Hospital and more than 30 services in the community. This larger scale organisation provides an unprecedented opportunity for us to continue our pioneering work, particularly in finding ways to deliver even better care to our patients.

Our mission is to deliver world class care and expertise in our clinical services, underpinned by world class teaching and research and we will continue to measure our progress against our five governing objectives: excellent outcomes, excellent patient and staff experience, excellent value for taxpayers’ money, being safe and meeting our external duties, and building a strong organisation.

Everyone is welcome at Royal Free London NHS Foundation Trust. We're proud of our diversity and we continue to undertake new initiatives to advance equality for LGBT+, BME, gender equality, staff carers and people with disabilities and lived experiences to promote good relations and understanding between our staff.

Artificial intelligence (AI) is a set of technology that can perform various tasks that typically required human intelligence. Your application is your opportunity to demonstrate to us how you meet the requirements of the role. We recognise that AI tools can support accessibility, equity and confidence for applicants.However, it’s important that examples and responses genuinely reflect your own experience and abilities, as these will be explored further during the selection process. AI must not be used to provide misleading or false information during any stage of the application journey. Further guidance can be found in the NLPSS Applicant Toolkit https://royalfree.pagetiger.com/cuuomnr/1 .

Royal Free London NHS Foundation Trust is committed to ensuring that its recruitment processes are carried out with integrity, transparency, and fairness for all applicants. To help maintain these standards, we ask candidates to provide accurate and truthful information throughout the recruitment process.

If incorrect or misleading information is identified, this may affect the progression of an application, any employment offer, or continued employment. As part of our due diligence, the company may verify the information provided by applicants and take appropriate act ion where necessary.

We do not charge applicants any fees at any stage of the recruitment process, including applications, interviews, sponsorship arrangements, pre-employment checks, or employment offers. All vacancies are advertised through TRAC/NHS Jobs and candidates are assessed solely on their skills, qualifications, experience, and suitability for the role. If you are asked to make a payment in connection with an NHS job opportunity, please treat this as suspicious and contact the organisation directly using the details published on our official career's website

Information derived from meaningful and relevant analysis of accurate and complete data is key to good decision making for operational, corporate and strategic issues.

The Senior Information Analyst is responsible for collecting, analysing and presenting data for all aspects of his/her areas of responsibility.

He/she will work closely with stakeholders, leading development, production and promotion of a range of statistical and information services across complex areas of clinical, operational and corporate services.

This role is required to provide specialist and dedicated analytic support for group wide pathology related Financial Improvement Programmes and the identification of initiatives to help achieve the FIP savings target of £2.5M.

Main duties of the job

• Providing regular highlight reports of activity, spend and trends
• Supporting FIP opportunity identification,quantificationand tracking
• Measuring the impact of test changes
• Supporting the development of Service Line Reporting for NMUH
• Reportingto a variety of groups including FRB, pathology clinical steering group, LECs
• Provision of bespoke data requests.
• Supporting the development of Power BI appfor pathology
• Benchmarking of Pathologyactivityacross HUs, Other Providers, and GPs

Working for our organisation

The Royal Free London NHS Foundation Trust is one of the UK’s biggest and most innovative trusts. Across three main hospitals, our dedicated army of staff care for over 1.6million patients, treat more than 200,000 in A&E, deliver over 8,000 babies and carry out more than 17million tests.

Our size, scale and influence offer you unrivalled career opportunities and a forward-thinking approach to working that works around your lifestyle. From flexible hours and generous benefits, to next level training, we make it easier to take your career to the top.

For more information please follow link https://www.royalfreelondonjobs.co.uk/

Detailed job description and main responsibilities

Please see attached job description for more information about this role and working at Royal Free London NHS Foundation Trust.

Royal Free shared commitments

• Demonstrable ability to meet the Trust shared commitments.

Education and professional qualifications

• 5 GCSEs or equivalent including Mathematics and English
• Master’s degree or equivalent experience

Experience

• Substantial experience of NHS information systems, sufficient to have gained an in-depth knowledge of the way data is held on Trust’s Patient Administration Systems (PAS)
• Experience of analysing information preferably in the NHS with evidence of success at producing capacity planning models/statistical analyses that met the clients’ needs.
• Knowledge of patient pathways within primary and secondary care sector

Skills and aptitudes

• Excellent verbal and written communication skills, producing reports/documentation to a professional standard, with an ability to communicate and present complex issues to audiences with a range of understanding.
• Able to build good business relationships and liaise effectively with senior management, clinical staff and other colleagues
• Proven ability to design and manage programmes of work, including the ability to act on own initiative in these areas
• Expert understanding of the concepts and techniques of spreadsheets and relational databases
• Experience of advanced SQL querying techniques
• Knowledge of and experience with relevant statistical/mathematical modelling packages

Personal qualities and attributes

• An effective team player
• Thorough & Conscientious
• AT* - Apprenticeship Training. Where AT* is entered next to the job title indicates that this vacancy is for an apprenticeship role.
• By applying for this role, you accept if successful, that your personal data may be transferred from the Trust to another NHS organisation where your employment transfers within the NHS. This is in accordance with the streamlining programme which aims at saving you time and improving efficiencies within the NHS when your employment transfers.Therefore we require you to complete your stat and Man e-learning modules prior to joining our organisation.
• Some administrative recruitment activities may be undertaken using automated workflow and robotic process automation technologies. These tools assist authorised staff in processing recruitment records and employment checks but do not make decisions regarding your employment.
• If you are an EU/EEA citizen who does not have EU Settlement or Pre-Settled status, you will require a visa to work in the UK.
• You must already have the right to work in the United Kingdom or fully meet the eligibility criteria for sponsorship under the Skilled Worker visa route. We welcome applications from candidates who require visa sponsorship; however, we can only consider these where all UKVI requirements are met. Before applying, please ensure that both you and the role satisfy the relevant UK Visas and Immigration (UKVI) points‑based system criteria, as applications that do not meet these requirements cannot be progressed. For more information about the criteria, please click here
• If you are offered a role with one of the NLPSS partner trusts, as part of pre-employment checks youridentity and right to work documentation will be verifiedremotely (in most circumstances), using a certified identity verification service provider TrustID. You will be asked to capture an image of the relevant documents as well as a “selfie” using your smartphone/tablet (if available) for facial matching. TrustID will also perform a digital address check using Trunarrative and Equifax, which is a soft check and does not leave a footprint on your credit rating. For more information, visit www.trustid.co.uk
• The Trust uses electronic new starter forms on Trac to collect personal details. Information collected is securely stored and used to set up the employee record on the ESR HR system.
• The Trust will request a DBS (CRB) if post involves regulated activities. The Trust is compliant with the Disclosure and Barring Service Codes of practice and the Rehabilitation of offenders act.
• By applying for this post you are agreeing to Royal Free London NHS Foundation Trust transferring the information contained in this application to its preferred applicant management system. If you are offered a job, information will also be transferred into the national NHS Electronic Staff Records system.
• Please be aware of scams – unless specified above, we will only communicate with you via @recruit.trac.jobs or nhs.net e-mails and we will never ask you for any payments.

Applications are welcome from people wishing to job share or work flexible patterns. We are committed to equal opportunities.

Please note:

• Only those candidates who clearly demonstrate how they meet the person specification will be shortlisted for this job.
• Interview arrangements will be communicated via email so please check your email regularly following the closing date.

Please be advised that due to exceptionally high demand, all Royal Free accommodation is at full capacity and waiting lists are being held. Average waiting times are 12 months. Please do not rely on Trust accommodation when you commence your role and ensure you investigate alternative accommodation for your arrival.