Senior Workforce Analytics & Insight Lead

University Hospitals of Northamptonshire (UHN) is seeking a Workforce Analytics Lead to deliver high-quality workforce intelligence that supports operational delivery, workforce planning and strategic decision‑making across the Trust.

This senior specialist role will lead on transforming complex workforce, medical and financial data from systems such as ESR, rostering, recruitment, temporary staffing and finance into clear, actionable insight for senior leaders, Divisions and Boards. You will develop integrated dashboards and reports, provide expert interpretation and narrative, and support assurance reporting, service redesign and workforce sustainability.

Working closely with colleagues across People Services, Finance, Digital and operational teams, you will act as the Trust's subject matter expert for workforce analytics, ensuring high standards of data quality, governance and consistency.

You will be educated to Master's level or have equivalent experience, with significant experience of workforce analytics in a complex organisation, ideally the NHS. Strong analytical capability, experience of presenting complex data to senior stakeholders, and advanced data visualisation skills are essential.

The Workforce Analytics Lead is a senior specialist role across UHN responsible for delivering a high-quality, integrated workforce analytics and intelligence service across the Trust.

The postholder will lead the transformation of complex workforce, staffing and pay and financial data into clear, actionable insight to support operational delivery, workforce planning, operational planning and strategic decision‑making, including the interpretation of national, regional and local guidelines. The role plays a critical part in enabling workforce planning and service redesign through advanced analytics, forecasting and triangulation of workforce data across all staff groups.

A key focus of the role is the integration of data from ESR, rostering systems, recruitment platforms, temporary staffing systems, Finance (inc PFR) and medical workforce sources to provide a single, coherent view of workforce supply, demand, performance and cost. The role will also support the development of robust assurance reporting to provide confidence in workforce performance, risks, and delivery against plan.

Working in partnership with colleagues across People Services, Finance, Digital, ESR, Rostering, Temporary Staffing, Recruitment, and Medical Workforce teams, the postholder will ensure workforce and financial data are translated into meaningful intelligence that supports evidence‑based decision‑making and effective operational planning across the organisation.

UHN welcomes applications from people from all protected groups and is committed to creating an inclusive working environment. We are proud signatories of the Armed Forces Covenant and have achieved the Gold Award under the Armed Forces Employer Recognition Scheme. Our active staff networks support colleagues from all backgrounds and help ensure everyone feels valued here at UHN

Lead the delivery of a comprehensive workforce analytics and reporting service across all staff groups.

Develop and deliver integrated reporting that triangulates data from ESR, rostering systems, recruitment systems, temporary staffing platforms, medical workforce and financial data sources, including production of PWR, to support operational planning, inform workforce decision‑making, and contribute to assurance reporting.

Produce high‑quality dashboards and reports using tools such as Power BI, Qlik View/Qlik Sense and ESR reporting tools.

Translate highly complex, multi‑source workforce data and analytical outputs into clear, actionable insights that inform and influence strategic decision‑making by Boards, Committees, and operational leaders maintaining credibility and objectivity when presenting sensitive or challenging findings

Provide interpretation and narrative alongside data, ensuring reports drive understanding, challenge and action.

Develop and monitor…