Hiring.Camp

Education Data Analyst

The Nursing and Midwifery Council

·

4 days ago

Salary
£41k – £49k/yr
Location
London or Edinburgh
Type
Full-time
Department
Education
Source
Pinpoint

Description

Education Data Analyst

Application Deadline: 27 October 2026

Department: Education and Standards

Employment Type: Permanent - Full Time

Location: London or Edinburgh

Reporting To: Lee Buck

Compensation: £40,982 - £48,961 / year



Description

About the Team

The Education Solutions Team is a newly established function within the Education Directorate, bringing together data, systems and service improvement to support the future of education quality assurance across the UK.

We're building a more connected, insight-driven approach to education regulation, ensuring that decisions are informed by high-quality data and meaningful intelligence. Working closely with colleagues across Education, Technology and Regulatory teams, we help transform information into knowledge, enabling better decisions, improved services and stronger outcomes for students, providers and the wider public.

This is an exciting time to join the team. As the function continues to grow, you'll have the opportunity to help shape new ways of working, influence how data is used across the organisation and play a key role in building a culture where evidence and insight sit at the heart of decision-making

Your Role and Impact

As an Education Data Analyst, you'll help turn data into meaningful insight that supports the quality of nursing, midwifery and nursing associate education across the UK.

This isn't just about producing reports. It's about helping colleagues understand what the data is telling us, identifying emerging risks and opportunities, and providing the evidence needed to make informed decisions that have a real impact on education quality and public protection.

You'll work with a variety of datasets, systems and stakeholders, bringing together information from multiple sources to identify trends, create compelling visualisations and generate actionable insights. Whether you're developing dashboards, exploring new data sources or presenting findings to colleagues, your work will help shape strategic priorities and support continuous improvement across the Education Directorate.

In this role you will:
  • Analyse and interpret complex data to identify trends, patterns, opportunities and emerging risks.
  • Develop dashboards, reports and visualisations that support both operational and strategic decision-making.
  • Work with data from a range of internal and external sources to create meaningful insight and intelligence.
  • Translate complex analytical findings into clear and engaging recommendations for diverse audiences.
  • Support the development of management information and performance reporting frameworks.
  • Analyse information held within Microsoft Dynamics 365 and other organisational systems.
  • Provide insight that informs education quality assurance, monitoring and regulatory activities.
  • Support data quality, validation and governance processes to ensure confidence in reporting and analysis.
  • Identify opportunities to improve data collection, reporting methodologies and analytical approaches.
  • Collaborate with colleagues across Education, Technology and wider organisational teams to solve problems and improve services.
  • Contribute to projects that enhance the use, accessibility and value of education-related data.
  • Help promote a culture of evidence-based decision-making and continuous improvement.
This is a role where your analysis will directly influence how the organisation understands risk, measures performance and supports high-quality education across the UK.

What You Will Bring

We're looking for someone who is naturally curious, enjoys solving problems and gets excited by the challenge of uncovering insights that can make a real difference.

You don't need to come from an education background. What matters most is your ability to interpret data, ask the right questions and communicate your findings in a way that helps others make better decisions.

You will bring:
  • Experience analysing and interpreting data within a complex organisational environment.
  • Strong analytical skills and the ability to identify trends, risks, patterns and opportunities from large or complex datasets.
  • Experience bringing together information from multiple sources to produce meaningful insight and recommendations.
  • Experience developing reports, dashboards and visualisations using tools such as Power BI.
  • Experience working with databases, business systems or platforms such as Microsoft Dynamics 365.
  • Strong data management skills, including data validation, quality assurance and governance practices.
  • Excellent communication skills with the ability to explain technical information to non-technical audiences.
  • Strong attention to detail and a commitment to producing accurate, high-quality work.
  • Experience supporting decision-making through reporting, analysis and evidence-based recommendations.
  • A collaborative approach and the ability to build positive working relationships with stakeholders at all levels.
  • A proactive mindset with a willingness to challenge existing approaches and identify opportunities for improvement.
  • A genuine passion for using data and insight to improve services, outcomes and decision-making.
Experience within higher education, healthcare, regulation, business intelligence, performance analysis or quality assurance would be beneficial. However, we're equally interested in candidates with strong analytical experience from other sectors who can bring fresh perspectives and transferable skills.



Benefits

  • 30 days annual leave
  • Enhanced Pension Contributions via our attractive Pension Scheme – with a basic 8% employer contribution as standard which increases up to 14% with optional added Employee Contributions 
  • Life Insurance – 4 x current salary
  • Hybrid working 
  • Enhanced Maternity and Paternity Leave
  • 24 Hours Employee Assistance Programme
  • Cycle to Work Scheme
  • Perkbox membership 
  • Subsidised restaurant in our Portland Place office
  • Season ticket loans 


Additional Information

The role you are applying for is a flexible role, and whilst you will be posted initially to a team, this may require movement between teams as the flow of work dictates. You will of course understand that this flexible approach enables us to provide the best possible service to our registrants and reach the outcomes to our cases quickly and within a reasonable timeframe. This will not change your terms and conditions and will be discussed with you prior to you taking up the post.

Hybrid Working Policy

We are currently working to a policy of office attendance for two days per week with the rest of the time working from home. Before submitting your application, please ensure you are able to commit to working in one of our office locations twice per week. If you are applying for a part-time role, please pro-rata office attendance based on the number of days you would be working.
 
Our Pay Policy

It is expected that staff new to the NMC will ordinarily be appointed to the bottom of the relevant pay band. However in exceptional circumstances, it may be possible to offer a salary above the bottom of the relevant pay band but we may request proof of current earnings. Please note that we offer an annual review of salaries and adopt a generous progressive pay approach. Further details of which are available on request.

For our internal colleagues, you will be paid in accordance to our internal pay policy.

Reasonable adjustments

We will provide reasonable adjustments to support disabled candidates throughout the recruitment process. Please let us know if you need any additional support to enable you to make an application with us.

Screening and vetting

All of our roles are subject to pre-employment checks. We are in the process of introducing a vetting policy, and it is possible that this role may become subject to DBS and further vetting checks in future.

Skills

Power BI

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