23797 - Prisons Data Quality Analyst (National)

Ministry of Justice; National (WA); Hybrid; USD 54,000 - 74,000; Full time

Benefits offered by this job

Hybrid working model

Flexible working patterns

Job summary

Ministry of Justice is recruiting two Prisons Data Quality Analysts (National) to strengthen data governance and improve the quality and usability of prison data. The role involves translating user needs into clear data requirements and supporting evidence-based decision making across multiple teams.

You will work with data, digital, policy and operational colleagues to deliver practical changes and drive improvements that reduce manual processes while supporting transformation initiatives

Qualifications

• Responsibilities focus on data quality, governance and analysis for prisons.

Responsibilities

• Support data requirements and analysis by translating findings into clear requirements and recommendations.
• Use evidence to support decision making through data quality insights.
• Stakeholder engagement with analytical, digital, operational and policy teams.
• Collaborate with data science, data engineering and digital delivery to develop data products.
• Delivery and coordination of data improvement projects with timelines.
• Improve prison data quality, reducing manual processes.
• Support OMU transformation with evidence-based insights.

Job description

23797 - Prisons Data Quality Analyst (National)

Grade: SEO

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.

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!

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.