Lead Analytics Engineer (Ref: 20876)

Job summary

Job description

Job title: Lead Analytics Engineer (Grade 7)

Directorate: Strategy, Analysis and Change

Location: National, with occasional travel to London and other sites.

Government Digital and Data (GDD) will be used to determine if you will be paid an additional allowance, on top of your basic salary, this may be up to £16,907. This assessment is reviewed annually with moderation across Ministry of Justice staff. This role is within the Data job family and is an Analytics Engineer role at Lead Analytics Engineer level.

Analytics engineer - Government Digital and Data Profession Capability Framework

Important Information

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.

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.

About the role

The Data, Analysis and Insight 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 Data Management and 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 the Lead Analytics Engineer encompasses several key aspects (but not limited to):

• Lead and manage a team of data engineering professionals to deliver business-as-usual data, reporting, and analytics outputs.
• Ensure operational data from case management systems is effectively shared, disseminated, and utilised within reports, management information, and official statistics.
• Collaborate with data analysts and data scientists to develop, manage, and automate regular data and reporting processes.
• Communicate delivery plans, timescales, and progress updates to stakeholders, enabling effective onward management and decision-making.
• Contribute to development priorities by identifying opportunities for process automation, efficiencies, and resource optimisation.
• Support the organisation's strategic data transformation by deploying and managing resources effectively.
• Develop and implement new technologies to enhance data management, accuracy, and accessibility.
• Maintain comprehensive documentation, including data dictionaries and data lineage information, for a wide range of stakeholders.
• Lead the development and maintenance of robust data models to support reporting and analytical requirements.
• Ensure data processes are efficient, reliable, and scalable.
• Establish and oversee a robust data quality assurance framework to ensure data accuracy and integrity.
• Enable evidence-based decision-making through the provision of reliable, accurate, and trusted data.

What are we looking for? (Person Specification)

The ideal candidate for this position should demonstrate:

• Experience leading and developing data engineering or technical teams, managing priorities, resources, and business-as-usual delivery.
• Strong experience designing and managing data models, ETL processes, and data integration solutions.
• Advanced SQL and relational database skills (e.g. Oracle, PL/SQL, SQL Server, T-SQL).
• Experience delivering automated data, reporting, and analytics solutions to improve efficiency and business outcomes.
• Proven ability to implement and oversee data quality, assurance, and governance processes.
• Experience working with a range of stakeholders to define requirements and deliver data solutions that meet business needs.
• Experience maintaining data documentation, including data lineage, metadata, and data dictionaries.
• Strong understanding of data warehousing concepts, dimensional modelling, and data management best practice.
• Experience with Python, Spark, or other programming and scripting languages.
• Experience developing cloud-based data solutions using Azure Data Factory, Databricks, or similar technologies.
• Knowledge of CI/CD, DevOps, Git repositories, and automated deployment practices.
• Experience driving data transformation, automation, or modernisation initiatives.
• Knowledge of Agile delivery methodologies and tools such as Azure DevOps, Jira, or Trello.

What We Offer

At HMCTS, we are committed to investing in your professional development and wellbeing. Benefits include:

• Competitive salary and Civil Service pension scheme.
• Generous annual leave entitlement.
• Flexible working arrangements and excellent parental leave policies.
• Supportive, inclusive workplace culture with active staff networks and diversity initiatives.

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, courses, one-to-one coaching and access to a large peer-support network.

Application Process

To apply for this role, please submit a CV and Statement of Suitability of no more than 1000 words setting out evidence and examples of how you meet the person specification of the role.

Your CV should

• Be succinct and clear
• Be factually accurate – You must ensure that any evidence submitted as part of your application, including your CV and statement of suitability 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.
• 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 you have used different tools to solve problems.

Your Statement of Suitability should be no more than 1000 words and