Ministry of Justice UK
Local Prevention Data Analyst: BOLD Prevention, Justice Digital, Data and Science, Ministry of Justice (Ref: 23119)
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Local Prevention Data Analyst: BOLD Prevention
Location: National
Closing Date: Thursday 22nd October 2026
Interviews: Interviews likely to take place from 17th November 2026 (dates are subject to change)
Grade: G7
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)
Salary: London: £63,343 to £70,725, National: £58,511 to £65,329
Working pattern: Full-time, Part-time, Flexible Working, Job Share
Contract Type: Permanent
Number of Vacancies: 1
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.
The Role
Please note this role requires you to pass Security Check clearance. Please click on the link for details.
We’re recruiting for a G7 Local Prevention data Lead, here at Justice Digital, Data and Science to be part of our warm and collaborative, to be part of our warm and collaborative Cross-Government and Academia team, which is part of the Better Outcomes through Linked Data (BOLD) partnership.
Public services collect a large amount of data which is used to improve the quality of services offered to the public, but it is often not shared between organisations, making it difficult to understand whether certain services have been effective.
This role sits within the BOLD Prevention workstream, which supports cross-government efforts to improve outcomes for people with multiple needs. The workstream aims to enhance data sharing across organisations, deepen our understanding of individuals' needs, and provide earlier, better-quality information to support decision-making.
This role will lead the development of national-local data products with local authority partners, including linked national justice-local resident datasets, creating a single view of residents needs and experiences to surface to the frontline and developing a scalable frontline tool that can be shared with other areas. The post holder will lead analysis to the data to provide insights to support the national plan to end homelessness, reducing reoffending strategy and place based policy making.
This post requires working closely with data and digital professionals to deliver the products, as well as analysts, policymakers, operational partners, and data providers across government and other organisations.
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.
This Post
This role will focus on bringing national and local data together and working in partnership with local areas. The postholder will lead a pilot from inception, including data acquisition, data linkage, the development of frontline tools, and hands-on analysis of multiple data sources to understand people's journeys and experiences of public services. They will also work closely with others across the data directorate and other government departments to identify use cases, assess the feasibility of future projects, explore innovative analytical solutions, and deliver analytical products.
We welcome applications from candidates to be based in either London or Leeds HQ offices (with flexible working arrangements available). Applicants must be willing to travel regularly to London and to local authorities partner sites as required.
Key Responsibilities
The core responsibilities of the role are:
- Lead the development of linked national justice and local authority resident datasets and associated analysis, ensuring they are based on comprehensive, high-quality data, using robust methodology, and fit for operational, analytical, and strategic use.
- Manage the delivery of data-driven tools and products that support frontline practitioners to identify need, target support effectively, and improve outcomes for people with multiple needs.
- Build strong relationships with local authorities and other partners, working collaboratively to understand user needs and ensure that data products and tools are practical, flexible, and scalable across different local contexts.
- Lead a small team of analysts, namely two junior analysts and any matrix managed staff, providing clear direction, coaching and support to build capability and ensure delivery of high-quality analytical outputs.
This is a new team, and you will have the opportunity to shape your role and the wider team approach and culture.
If this feels like an exciting challenge, something you are enthusiastic about, and want to join our team, please read on and apply!
Person Specification
The Following Experience And Skills Are Essential:
- A strong track record of developing and analysing large government datasets to deliver robust analysis. This includes data preparation, data linkage and manipulation, applying analytical techniques and quality assurance. You should be able to manipulate data in either R or Python (technical skills).
- Experience of applying statistical and technical methods to deliver robust analysis to inform policy and/or operational decisions (technical skills).
- Good demonstration of managing analytical or technical projects, ensuring clear plans and resources are in place, risks mitigated and outcomes are delivered to time and high quality (managing a quality service).
- Good experience of managing stakeholder expectations and navigating difficult discussions, including communicating complex findings to non-technical audiences (communicating and influencing).
- Strong leadership skills and the ability to work with and get the best out of a multidisciplinary team (leadership)
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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 £63,343 to £70,725 based London location, £58,511 to £65,329 for those based on national location.
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 base salary or move to the minimum of the pay band for the role, whichever is higher. Existing Civil Servants who are promoted will either move to the bottom of the new grade’s pay band or receive a 10% uplift, whichever provides the greater increase.
How To Apply
In Justice Digital, Data and Science, we recruit using the Success Profiles Frameworks. We shall assess a combination of your Experience, Technical skills and Behaviours during the assessment process.
Stage 1 - Application And Sift:
To apply for this position, you must submit the following as part of your application:
- A CV detailing your career history (including any relevant qualifications). Your CV will be assessed against the essential criteria outlined within the Person Specification of this advert.
- A Personal Statement (no more than 750 words) which should outline your experience and skills, giving clear examples of work undertaken. It should specifically address the following criteria listed below, using a separate paragraph for each.
- Experience of analysing large government datasets to deliver robust analysis. This can include data or analytical specification, data preparation, data linking, data manipulation, analysis and quality assurance.
- Experience of leading analytical projects, ensuring clear plans and resources are in place, risks mitigated and outcomes are delivered to time and high quality
- Leadership skills showcasing the ability to work with colleagues from different profession to get the best out of a multidisciplinary team
A diverse sift panel will review the information in your CV and Personal Statement to assess the sift criteria specified above. We operate an anonymous shortlisting process. Please ensure your CV and Personal Statement do not include your name or any other identifying details.
Should we receive a high volume of applications, a pre-sift based on “Experience of analysing large government datasets” will be conducted before the sift.
Please access the following link for guidance on how to apply - Application Guidance
Stage 2 - Interviews:
Successful candidates who meet the required standard will then be invited to a panel interview held via Microsoft Teams. At interview stage, you will be assessed against
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