Evaluation AnalystMinistry of Justice

23179

Descriptions & requirements

Job description

Evaluation Analyst

Location: National*

Closing Date: 5th November 2026

Interviews: Week commencing 23rd November 2026 (subject to change)

Grade: HEO

(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)

Salary**:

National: £35,335 - £37,847

London: £40,014 - £42,859

Working pattern: Full-time, Part-time, Flexible working

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

We’re recruiting for an HEO Analyst here at Justice Digital, Data and Science to be part of our warm and collaborative Impact and Value Hub.

This role sits within Justice Data, where multidisciplinary teams work across the data lifecycle to turn complex data into better decisions, tools and services.

We bring together expertise in data management, engineering, access and sharing, data linking, data science and AI, analysis and service management. Working with partners across the department, the Criminal Justice System and wider government, we strengthen data foundations, connect data across organisational boundaries and make it easier to use data securely and effectively.

By combining strong data foundations and governance with engineering, insight and AI, Justice Data supports better decision-making, frontline delivery and long-term transformation of the justice system.

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!

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:

Provide evaluation and monitoring expertise, working collaboratively with colleagues to support evidence-informed decision-making.

Support a range of evaluation projects, contributing to different stages of the evaluation lifecycle, including the development and use of Theory of Change models

Contribute to the design and delivery of qualitative research, including interviews, focus groups, thematic analysis, report writing and dissemination of findings.

Synthesise qualitative findings and communicate insights clearly and accessibly to a range of audiences.

Work closely with evaluation team members to develop evidence-based conclusions and recommendations.

Build and maintain positive working relationships with stakeholders within and beyond MoJ.

Contribute to meetings and dissemination activities, including organising meetings, drafting papers, and preparing or delivering presentations.

Engage with service users, operational colleagues and policy stakeholders to understand experiences of implementation and delivery.

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

Essential:

You are a member of a Government Analytical Profession (GES, GSG, GSR, or GORS),

Experience of applying qualitative and quantitative research or evaluation methods, with particular strength in qualitative approaches such as interviews, focus groups and thematic analysis, and using evidence to support decision-making.

Experience of presenting and disseminating complex research, analytical or evaluation findings effectively to technical and non-technical audiences.

Experience of maintaining high analytical standards, quality assuring outputs and using insight and feedback to support continuous improvement of analytical products.

Willingness to be assessed against the requirements for BPSS 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 £35,335 - £37,847 (National), £40,014 - £42,859 (London)

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 a combination of 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 statement of suitability (no more than 750 words) which should outline your experience and skills, giving clear examples of work undertaken. It should specifically address the essential criteria below, using a separate paragraph for each.

You are a member of a Government Analytical Profession (GES, GSG, GSR, or GORS)

Experience of applying qualitative and quantitative research or evaluation methods, with particular strength in qualitative approaches such as interviews, focus groups and thematic analysis, and using evidence to support decision-making.

Experience of presenting and disseminating complex research, analytical or evaluation findings effectively to technical and non-technical audiences.

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 statement of suitability do not include your name or any other identifying details.

Should we receive a high volume of applications, a pre-sift based on the below will be conducted before the sift.

You are a member of a Government Analytical Profession (GES, GSG, GSR, or GORS)

Experience of applying qualitative and quantitative research or evaluation methods, with particular strength in qualitative approaches such as interviews, focus groups and thematic analysis, and using evidence to support decision-making.

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 the following technical skills and behaviours:

Technical Skills:

GES – Analysis of Data

GSR – Knowledge of research methods, techniques and application of these in more complex projects; using and promoting social research

GSG – Data Analysis; presenting and disseminating data effectively

GORS – Knowledge and application of Operational Research; achieving impact with analysis

Behaviours:

Communicating and Influencing

Working together

Making effective decisions

As part of your interview, you will be asked to deliver a 5-minute that assesses you against the below criteria (further details will be provided if successful at sift).

Experience of applying qualitative and quantitative research or evaluation methods, with particular strength in qualitative approaches such as interviews, focus groups and thematic analysis, and using evidence to support decision-making.

Experience of maintaining high analytical standards, quality assuring outputs and using insight and feedback to support continuous improvement of analytical products.

Appointments will be made in merit order based on interview scores. If two or more candidates achieve the same overall score, the Communicating and Influencing behaviour score will be used to determine the final merit order.

Should you be unsuccessful in the role that you have applied for but demonstrate the capability for a role at a lower level, we reserve the right to discuss this opportunity with you and offer you the position without needing a further application.

A reserve list may be held for up to 12 months, from which further appointments may be made.

Use of Artificial Intelligence

Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.

Terms & Conditions

Please review our Terms and Conditions which set out how we recruit and provide further information related to the role and salary arrangements.

If you have any questions, please feel free to contact [email protected]