Ministry of Justice UK
Lead Analytics Engineer (Ref: 22188)
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Job Summary
This position is based Nationally
Job Description
Lead Analytics Engineer
Location: National
Closing Date: 28th September 2026
Interviews:
- Technical tests – week commencing 28/9/26 (this may be subject to change)
- Interviews – week commencing 12/10/2026 (this may be subject to change)
Grade: G7
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)
Salary:
- National: £58,511 - £74,525 (which may also include an allowance of up to £16,014)
- London: £63,343 - £79,313 (which may also include an allowance of up to £15,970)
Working pattern: full-time, part-time, flexible working
Contract Type: Permanent
Vacancy Number:
We offer a hybrid working model, allowing for a balance between remote work and time spent in your local office. Office locations can be found ON THIS MAP
Please note that unless you are an existing member of staff at Justice Digital, Data and Science, the only London location being recruited to is 10 South Colonnade, E14 4PU. We are no longer recruiting to 102 Petty France, SW1H 9AJ.
Roles Available
We’re recruiting for Lead Analytics Engineers across a range of roles here at the Ministry of Justice, to be part of our warm and collaborative Data & Analytics Engineering community.
This role aligns against Lead Analytics Engineer from the Government Digital and Data Framework.
This is a great opportunity to work with leading cloud technology and help change the way data is used in the public sector. Analytics engineers at MoJ play a critical role in our mission to put data at the heart of decision-making. We're looking for people with the drive to develop a deep understanding of data needs and data availability across specific areas of the Ministry of Justice. You will lead a team of Analytics Engineers, working alongside Data Engineers, to bridge the gap between data producers and data users, developing analytical pipelines and self-service tools to acquire and transform data, making it available on our Analytical Platform.
We are currently seeking candidates for the following roles. This list is not exhaustive, and other roles will become available. We try to allocate candidates according to interests and experience. If you reach interview stage, we encourage you to make clear if there is a particular role that strongly interests you, however we cannot guarantee that you will be placed into this role. Whichever role you are allocated to, there will be future opportunities to move between teams based on preference and organisational needs.
CICA
The Criminal Injuries Compensation Authority (CICA) is transforming how it uses data to improve services and operational performance. As an Analytics Engineer, you will lead the design of analytical data models across legacy and modern digital systems, helping to build a unified view of CICA’s operations. Working closely with data scientists and business colleagues, you will tackle complex data challenges, support digital transformation, and deliver insights that drive organisational change. In this context your work will be highly visible and have a direct impact on outcomes.
Finance Analytics and Reporting
As part of the Finance Analytics and Reporting function within MoJ, this role will lead the ongoing development, optimisation and governance of the data and reporting architecture underpinning a standardised suite of Power BI dashboards that provide trusted financial insight to budget holders and senior stakeholders. Building on the delivery of a centralised reporting framework, the post holder will drive the refactoring and enhancement of existing data pipelines to improve performance, scalability, and maintainability. Working across organisational boundaries, they will ensure financial data is robust, well-governed and supports timely, high-quality analysis and decision-making, while overseeing the Business-as-Usual reporting service, including the Working Day Refresh process, to ensure the reliable delivery of financial reporting across the organisation.
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Cross Government Division
This role will lead Analytics Engineering in the Cross-Government Division, which brings together policy, data, and analytical capability to address complex justice challenges that cut across departmental boundaries. The post holder will work with partners across government and academia to improve data access, build evidence, and develop practical tools that support better decision-making, frontline delivery, and long-term system transformation.
The Division includes the Data First programme and the BOLD partnership, which together focus on linking and transforming data across government to support research, enable new insights, and improve evidence-based policymaking across justice and wider public services.
Analytics Engineering Centre for Excellence
As Analytics Engineering lead within our Centre for Excellence for the Data and Analytics Engineering professions, this is a critical technical leadership role that will be responsible for ensuring we continue to develop and embed consistent technical, process and cultural capabilities across our teams, cementing our position as the leader in data and analytics engineering across government. The role will shape the overall technical strategy for analytics engineering and set the direction and vision for the Centre for Excellence alongside the Data Engineering Lead, identifying new tools, techniques, platforms and frameworks that could improve the way we work, and lead the evaluation and adoption of these.
People Analytics Engineering
As the lead of People Analytics Engineering, you will be driving the next phase of development of a unified HR data model. Coming off the back of finishing the first phase of development of a core model over the past year, detailing MoJ staff headcount, there is the opportunity to expand to new data sources and enrich the understanding of an employee’s journey through the MoJ. Working with stakeholders to understand the most valuable sources and using them to expand the available dimensions and facts. With stakeholders slowly moving from legacy data models, you will also have the opportunity to establish solutions for statistical reporting, dashboards, prediction models and adhoc projects.
Benefits
You’ll receive a range of excellent benefits when you join our department, including:
- A generous employer pension contribution of 28.97% through the Civil Service Pension Scheme.
- 25 days of annual leave, (increasing to 30 days once you have reached 5 years of service), plus 8 bank holidays and a privilege day for the King’s birthday.
- Flexible working arrangements including hybrid working, working part time or compressed hours. Designed to support a positive work–life balance.
- Employees are allocated 10% of their working time for personal and professional development.
- A £1k per person learning budget is in place to support all our people, with access to best-in-class conferences and seminars, accreditation with professional bodies, fully funded vocational programmes and e-learning platforms.
- Compassionate maternity, adoption, and shared parental leave policies, with up to 26 weeks leave at full pay, 13 weeks with partial pay, and 13 weeks further leave. And maternity support/paternity leave at full pay for 2 weeks, too!
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You can find more details of the Benefits we offer here. To help picture your life at MoJ Justice Digital, Data and Science please take a look at our blog.
Key Responsibilities:
As a Lead Analytics Engineer your work might involve:
- Gathering user requirements and translating them into clear, deliverable tasks.
- Leading a team of Analytics Engineers build flexible, quality-assured dimensional data models for analytical and reporting use, using dbt.
- Working with Data Engineers to manage end-to-end data services and to deploy solutions in a reproducible, sustainable way.
- Supporting analytical teams to use modelled data effectively, including by collecting, storing and presenting metadata to enable intelligent data use.
- Creating and promoting best practices within the analytics engineering community to develop our overall analytics engineering maturity, including developing technical standards and promoting the value and benefits of analytics engineering.
- Keeping up to date with current trends and best practices in analytics engineering for continuous improvement
- Championing across the department and wider community the benefits of analytics engineering to create a “single version of the truth”
- Managing, mentoring or coaching junior colleagues
If this feels like an exciting challenge, something you are enthusiastic about, and you want to join our team please read on and apply!
Person Specification
Essential:
- Using SQL to query and transform data,
- Leading a technical team, preferably one that uses data modelling to support reporting or analysis
- Designing data solutions that meet business needs while following recognised patterns and standards
- Designing, implementing and communicating appropriate data testing and quality assurance processes.
Willingness to be assessed against the requirements for SC clearance.
We welcome the unique contribution diverse applicants bring and do not discriminate based on culture, ethnicity, race, nationality or national origin, age, sex, gender identity or expression, religion or belief, disability status, sexual orientation, educational or social background or any other factor.
Our values are Purpose, Humanity Openness and Together. Find out more here about how we celebrate diversity and an inclusive culture in our workplace.
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service D&I Strategy.
Salary Information
Base salary for this role is from £58,511- £65,329 (National) £63,343 - £70,725 (London)
New entrants to the Civil Service joining the MoJ are expected to start at the minimum of the pay band. Existing Civil Servants moving on a level transfer will retain their current
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