Head of Analytics (Data Modelling): Sponsorship Available

The Shrewsbury and Telford Hospital NHS Trust

Job Summary

The Head of Analytics (Data Modelling) will work alongside the Head of Analytics (Business Intelligence) to lead the Trust’s analytics, data science and reporting functions, ensuring delivery of high-quality, timely, and actionable intelligence to support operational performance, strategic planning, quality improvement, and clinical decision-making.

The postholder will act as the Trust’s senior expert on all aspects of data modelling, championing a data-driven culture, modernising analytical methodologies, and ensuring compliance with all national reporting and regulatory requirements.

 

Main duties of the job

Lead the design, development and maintenance of data models to support operational, clinical, financial and performance reporting across the Trust.

Establish, implement and maintain data modelling standards, frameworks and best practice, ensuring consistency, scalability, data quality and sustainability of analytical solutions.

Be accountable for the delivery of high-quality analytical datasets and semantic layers that enable self-service business intelligence, advanced analytics and data science across the organisation.

Provide technical leadership and specialist advice on data structures, modelling techniques and analytics architecture, acting as a source of expert guidance to analysts, data scientists and senior stakeholders.

Work in partnership with clinical, operational and corporate teams to translate business requirements into robust, fit-for-purpose data models that support decision-making and service improvement.

Ensure that data governance requirements, national information standards and NHS data definitions are embedded within all data models and reporting outputs.

Lead, mentor and develop analytics staff, building organisational capability in data modelling and supporting improvements in data literacy across the analytics function.

Drive continuous improvement and innovation in data modelling, including the adoption of modern analytical tools, platforms and methods in line with Trust and NHS strategic objectives.

Person Specification

Qualifications

Essential

  • Master’s degree or equivalent experience in Analytics, Data Science, Mathematics, Statistics, Informatics or related field.

Desirable

  • Leadership or management qualification

Experience

Essential

  • Extensive senior management experience in advanced data modelling within the NHS or a similarly complex organisation
  • Proven track record of leading analytical transformation and modernisation
  • Demonstrable experience presenting complex information at Board level
  • Experience with advanced analytical methodologies, predictive modelling and large datasets.

Knowledge

Essential

  • Expert understanding of NHS datasets and national reporting requirements
  • Expert knowledge of modern BI technologies (e.g., SQL Server, Azure, data modelling, Power BI).

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Certificate of Sponsorship

Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).

From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).

Closing Date: 13 May 2026

To apply for this job please visit apps.trac.jobs.