HR Data and MI Lead


Company:	East Midlands Combined County Authority
Salary:	£45,529 to £50,908 a year
Hours:	Full-time
Location:	Chesterfield, S40 1SA
Working pattern:	Hybrid - 3 days remote
Job type:	Permanent
Posting date:	29 Sept 2026
Closing date:	13 Oct 2026

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Summary

HR Data & MI Lead

Salary: £45,529 to £50,908 per annum Grade: F16

Contract: Permanent Reports to: HR Operations & Services Partner

Location: Hybrid, with a minimum of two days per week at EMCCA HQ in Chesterfield Directorate: Resources

Closing date: 13 October 2026 Proposed interview date: Week commencing 26 October 2026

The successful candidate will normally be appointed at the minimum point of the salary band, unless exceptional circumstances apply.

About EMCCA

East Midlands Combined County Authority (EMCCA) brings partners together to help make the East Midlands more prosperous, sustainable and fairer. We are an evolving organisation, moving our focus towards delivery against our Corporate Plan and building the people, systems and capability needed to turn our ambitions into results. This makes it an exciting time to join us. You will have the opportunity to contribute to a developing organisation, shape how we work and help deliver meaningful outcomes for our region.

About the role

As HR Data & MI Lead, you will work with the HR Operations & Services Partner to build and take ownership of our workforce data, management information and people analytics. You will develop clear dashboards and reporting that help leaders and colleagues understand what is happening across our workforce, identify trends and make evidence-based decisions.

This is not simply a reporting role. You will help establish a strong and trusted approach to HR data, bringing together accurate information, meaningful analysis and clear narrative. Your work will support operational decisions, workforce planning, corporate priorities and statutory reporting.

You will also have a supporting role in the effective use and improvement of HR systems because reliable systems and data flows underpin good MI.

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