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Band 5
36

Performance and Intelligence Analyst (Acute & Corporate)

NHS Dumfries & GallowayMountainhall Treatment Centre£34,544 - £43,039

At a glance

Band
Band 5
Pattern
36

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Sponsorship is not clearly stated in this advert.

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Role summary

This role involves analysing and interpreting data to support decision-making in acute and corporate services within NHS Dumfries & Galloway. You will work with various data tools, ensure data quality, and communicate complex findings clearly to colleagues. The position requires a collaborative approach to help teams translate insights into service improvements.

Useful to know

Band 5 pay context

Agenda for Change 2024/25 pays Band 5 at £29,970 – £36,483 a year, across England.

This advert: £34,544 – £43,039 — outside the standard scale; check for HCAS/London weighting.

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Job reference:

249044

Salary:

Band 5 (£34,544 - £43,039)

Job closing date:

25/09/2026

Job Type:

Administrative Services

Location:

Mountainhall Treatment Centre

Employment type:

Fixed-term

Hours Per Week:

36

Job posted date:

18/09/2026

Employer (NHS Board):

NHS Dumfries & Galloway

Department:

Performance and Intelligence Team

Where to find us

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Job Advert

Performance and Intelligence Analyst (2 posts - Corporate & Acute Analytics) – Band 5 (Fixed Term 12 months), Full Time (36 hours)

Do you enjoy turning complex data into clear stories that help people make better decisions? We’re looking for a curious, proactive Performance and Intelligence Analyst to join our Performance and Intelligence Team. In this role, you’ll work in-person alongside hospital teams at Dumfries and Galloway Royal Infirmary to spot patterns, apply analytic techniques, and generate practical, data-driven insights that supports the delivery of acute services.

What you’ll do

  • Deliver near-time operational analysis that supports performance improvement, planning and decision-making.
  • Explore data to identify trends, variation and emerging risks/opportunities—then translate findings into clear meaningful insights.
  • Use appropriate analytic methods (benchmarking, standardised rates, statistical process

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