23797 - Prisons Data Quality Analyst (National)


Company:	Ministry of Justice
Salary:	£42,914 to £53,081 a year
Hours:	Full-time
Location:	National, NP10 8FZ
Working pattern:	Hybrid - 3 days remote
Job type:	Permanent
Posting date:	6 Nov 2026
Closing date:	20 Nov 2026

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Summary

Prisons Data Quality Analyst

Location: National*

Closing Date: 20th November 2026

Interviews: Week commencing 30th November 2026

Grade: SEO

Salary:

National: £42,914 – £46,182

London: £49,325 – £53,081

Working pattern: full-time, part-time, flexible working

Contract Type: Permanent

Number of roles: 2

Vacancy number: 23797

*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 two Prisons Data Quality Analysts at the Ministry of Justice, to join our warm and collaborative Prisons Data Transformation team. This SEO role will support the Data Transformation Lead by using analytical thinking, evidence and insight to improve the quality, accessibility and useability of data across prisons. You will help turn user needs and operational challenges into clear data requirements, support analysis-led improvement activity, and work with digital, analytical, policy and operational colleagues to deliver practical changes that strengthen evidence-based decision making.

This role most closely aligns to Data Governance Manager from the Government Digital and Data Framework, with a strong emphasis on analytical skills, problem solving, stakeholder engagement and delivery.

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:

Support data requirements and analysis: Work with business, digital, analytical, policy and HMPPS operational colleagues to identify data needs, explore current data issues, and translate findings into clear requirements, actions and recommendations.

Use evidence to support decision making: Gather, interpret and present information from a range of sources to help the team understand problems, assess options and prioritise improvements to data quality, accessibility and useability.

Stakeholder engagement: Build effective relationships with internal stakeholders, including analytical, digital, operational and policy teams, explaining data issues clearly and helping colleagues understand the value of good data practice.

Collaboration with technical teams: Work alongside colleagues in data science, data engineering, analysis and digital delivery to support the development of data products, prototypes and improvement activity.

Delivery and coordination: Support the planning and delivery of data improvement projects by tracking actions, coordinating input from others, managing competing priorities and helping ensure work is delivered to agreed timescales.

Improve HMPPS data: Contribute to initiatives that improve the quality, consistency and use of prison data, supporting wider engagement with operational users and helping identify opportunities to reduce manual processes and improve confidence in data.

Support OMU transformation: Help ensure OMU transformation activity is informed by evidence, user needs and operational insight, supporting the development of data practices and solutions that deliver meaningful outcomes for stakeholders.

If this feels like an exciting challenge, something you are enthusiastic about, and want to join our team please read on and apply!