Prisons Data Quality Analyst (National)

Ministry of Justice; United States; Hybrid; USD 56,000 - 87,000; Full time

Benefits offered by this job

28.97% Civil Service Pension Scheme

25 days annual leave (+ 5 years: 30)

Hybrid working

Personal/professional development time

£1k learning budget

Parental leave policies

Job summary

Ministry of Justice seeks two Prisons Data Quality Analysts to join the Prisons Data Transformation team. You will use analytical thinking and evidence to improve data quality, accessibility and usability across prisons.

The role supports the Data Transformation Lead by turning needs into clear data requirements and delivering practical changes that strengthen evidence-based decisions. You will work with policy, digital, analytical and operational colleagues to identify data issues, translate

Qualifications

• Strong data quality and governance capabilities.
• Ability to translate user needs into data requirements.
• Experience working with cross-functional teams.

Responsibilities

• Identify data needs and translate findings into clear requirements and actions.
• Gather, interpret and present information to prioritize data quality improvements.
• Build relationships with internal stakeholders to explain data issues clearly.
• Collaborate with data science, data engineering and digital teams on data products.
• Support planning and delivery of data improvement projects and track actions.
• Contribute to initiatives that improve prison data quality and reduce manual processes.
• Support OMU transformation with evidence and operational insight.

Skills

Data quality

Data analysis

Stakeholder engagement

Data governance

Job description

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.

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.

Benefits

• 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.