20454 - Analytics Engineer x 2 (National)


Company:	Ministry of Justice
Salary:	£35,335 - £42,859
Hours:	Full-time
Location:	National, NP10 8FZ
Working pattern:	Hybrid - 2 days remote
Job type:	Permanent
Posting date:	27 Jul 2026
Closing date:	11 Aug 2026

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Summary

Job title: HEO Analytics Engineer x 3

Location: National with occasional travel to London and other locations

Directorate: Strategy and Analysis Directorate

About us

HM Courts & Tribunals Service (HMCTS) is responsible for the administration of criminal, civil and family courts and tribunals in England and Wales. Our roles support our service users and colleagues, where people and businesses access potentially life-changing justice. We’re looking for individuals who are committed to public service and want to make a difference in people’s lives in delivering justice. You will contribute directly to the delivery of our ambitious Data Strategy, supporting efforts to modernise and enhance our data capabilities across the organisation.

This role will be recruited using a combination of Government Digital and Data (GDD) Profession Capability Framework and Success Profiles Frameworks during the sift and interview process. This role is within the Data job family and is a Analytics Engineer role.

About the role

The HMCTS Data team plays a pivotal role in supporting a whole range of senior leaders across the business through reporting, analysis and insights. Our work supports the organisation’s overall strategy and empowers senior leaders to make strategic, data driven business decisions. In December 2021 we published our Data Strategy, setting out HMCTS’s commitment to becoming a data driven organisation.

HMCTS Data Strategy (publishing.service.gov.uk)

As part of this strategy, HMCTS has invested in a cloud-based strategic data platform to transform the ways in which we work with data and enable us to add more value than ever to the organisation and the public. This platform is now technically complete, and we are looking for enthusiastic and motivated individuals to join our team and help us exploit our new technology.

This role will be based in our Analytics Engineering team responsible for holding, curating, and protecting our data to drive value for our organisation both now and into the future.

Your role as an Analytics Engineer encompasses several key aspects (but not limited to):

· Contribute to the delivery of physical data models and views required for data exploiters to enable visualization of metrics and the provision of insightful analysis for data science projects.

· Help in developing data models and transformation processes for new and existing data sources.

· Work with subject matter experts to develop and implement the business rules and definitions underpinning measures, metrics and KPIs.

· Collaborate effectively with the operational colleagues across the organisation, internal project teams and other stakeholders to gather, refine and deliver requirements to meet business needs.

· Embed improved ways of working with data across the wider team, including automation of manual tasks and data assurance.

What are we looking for? (Person Specification)

The ideal candidate for this position should demonstrate:

Essential

· Some experience of ETL (extract, transform and load) and data integration, including exporting data from various source data systems, transforming data against required business rules and data models, or data storage and analysis requirements, and loading data in various storage platforms.

· Experience of working with data and databases, ideally involving the development of new and existing data sources in a Data Warehouse environment.

· An understanding of Data Warehouse techniques, including dimensional data modelling and relational database design and concepts (e.g. Kimball) or a willingness to learn.

· SQL skills and some experience working with databases.

Desirable

· Experience with parameterised coding in scripting/programming languages such as Python/Spark.

· Experience using cloud-based data services such as Azure Data Factory, Synapse or Fabric.

Further details

Occasional travel to London and other locations will be required.

Due to the nature of the role, part time requests will be considered at a minimum of 30 hours. Flexible working will be considered on a case-by-case basis.

Development opportunities

You will have access to a wide range of tools to continually develop and enhance your Data skills, such as: access to Microsoft Azure training courses via our partnership with Microsoft, online training such as DataCamp or Pluralsight, webinars, taught courses, one-to-one coaching and access to a large peer-support network.

How to apply

Application Stage

Please submit:

An anonymised CV. Please ensure your CV is uploaded in a simple format to prevent any formatting issues when it's downloaded or reviewed.

Your CV should:

· Be succinct and clear.

· Be factually accurate – You must ensure that any evidence submitted as part of your application, is truthful and factually accurate. Please note that plagiarism can include presenting the ideas and experiences of others, or generated by artificial intelligence, as your own.

· Include your qualifications, highlighting any modules or accreditation relevant to the role.

· Include your relevant experience, providing dates.

· Provide detail – we are interested in how your knowledge, skills, and experience demonstrate the capabilities we are looking for in this role.

· Statement of suitability demonstrating how you meet the essential criteria (up to 750 words).

Your Statement of Suitability should be no more than 750 words and should give us real life examples of how your skills and experience match those needed for this role.

You must ensure that any evidence submitted as part of your application, are truthful and factually accurate. Please note that plagiarism can include presenting the ideas and experiences of others, or generated by artificial intelligence, as your own.

We will aim to sift the CV, Statement of Suitability. In the event of a high number of applications, the panel will perform a preliminary sift on the Technical Understanding criteria.

Candidates who pass the initial sift of the Technical Understanding criteria will progress to a full sift where all application assessment criteria is then assessed.

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