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Head of Data Analytics & Reporting Transformation

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Client:

Justice Digital

Location:

United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

95b88c09c884

Job Views:

4

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Head of Data Analytics & Reporting Transformation

Location: National*

Closing Date: 20/08/2025

Interviews: w/c 8 th September 2025

Grade: G6
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)

Salary:
National: £68,967 £88,900 (inclusive of a potential allowance of up to £19,993)
London: £73,115 £93,025 (inclusive of a potential allowance of up to £19,910)

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

Contract Type: Permanent

*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

The Role Head of Data Analytics & Reporting Transformation

The Data Analytics & Reporting Transformation Team is a new and evolving function that plays a key role in shaping how MoJ delivers its data reporting capability.

The team develops reporting tools such as dashboards, leads work on improving the production of data for statistical reporting, and manages both internal and public-facing data dissemination tools.

The focus in all these areas is in ensuring that data reporting follows best practices in automation, data pipelines, ELT processes, and data modelling, making reporting more efficient and reliable. This requires close collaboration with statisticians, data analysts, data engineers, and analytics engineers to deliver end-to-end processes which transform the department’s raw data into effective and scalable reporting solutions. The team is also responsible for supporting others in the organisation to do the same.

This is an opportunity to lead a team at the forefront of leveraging MoJ’s cutting-edge data technology infrastructure and expertise to deliver reporting solutions that meet organisational needs while making the best use of available data and technology.

As Head of Data Analytics and Reporting Transformation, you will lead a team developing improved reporting solutions for MoJ, as well as setting the wider strategic agenda for data reporting within the department. You will set work priorities for the team as well as communicating with others across the wider organisation to embed improvements in data reporting practices.

With an emphasis on embedding the use of automated processes in data reporting, the role requires someone with appropriate technical knowledge and experience, particularly in the fields of data and analytics engineering, data warehousing, BI tools and data visualisation. The post holder will use this experience to define and develop technical solutions to data reporting requirements within MoJ’s existing AWS cloud infrastructure, leading a team of specialists in the application of these techniques.

This role aligns against Head of Analytics Engineering from the Government Digital and Data Framework

Key Responsibilities

• Strategic Leadership: Set the direction for data reporting across the organisation, ensuring alignment with wider data, digital, and analytical strategies.
• Reporting & Data Model Oversight: Ensure that data reporting is built on best practices in automation, data pipelines, and structured data models, working with technical teams to develop scalable and efficient solutions.
• Collaboration & Stakeholder Management: Work closely with statisticians, analysts, data engineers, and analytics engineers to ensure reporting needs are met using high-quality, well-structured data.
• Team Management & Development: Lead and develop a team of reporting specialists, fostering a culture of innovation, continuous improvement, and professional development.
• Technology & Tools: Oversee the selection and use of reporting tools and platforms, ensuring they are fit for purpose and aligned with the organisation’s data and technology ecosystem. Promote and implement automation in reporting processes to improve efficiency, reduce manual effort, and enhance data reliability.
• Agile Ways of Working: Embed agile principles within the team to deliver reporting solutions iteratively, responding to organisational priorities and user feedback.
• 37 hours per week and flexible working options including working from home, working part-time, job sharing, or working compressed hours.
• 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
• Staff have 10% time to dedicate to develop & grow
• Generous civil service pension based on defined benefit scheme, with employer contributions of 28.97% from April 1st 2024 ( Contribution Rates )
• 25 days leave (plus bank holidays) and 1 privilege day usually taken around the Kings’ birthday. 5 additional days of leave once you have reached 5 years of service.
• 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!
• Wellbeing support including access to the Calm app.
• Nurturing professional and interpersonal networks including those for Carers & Childcare, Gender Equality, PROUD and SPIRIT
• Bike loans up to £2500 and secure bike parking (subject to availability and location)
• Season ticket loans, childcare vouchers and eye-care vouchers.
• Some offices may have a subsidised onsite Gym

Person Specification

• Able to demonstrate an ability to set and implement a vision for data reporting and visualisation for MoJ, ensuring alignment with wider organisational data, digital, and analytical strategies. Presentation
• Strong knowledge and experience of data reporting tools, data pipelines, ELT processes, and data modelling principles, with experience of guiding teams on best practices.
• Experience working with a range of stakeholders across the data value chain, including statisticians, analysts, data engineers, and senior decision-makers, translating complex requirements to shape and deliver reporting solutions.
• Experience leading and managing a team, fostering a culture of collaboration, innovation, and continuous improvement.
• Experience communicating complex technical concepts to non-technical audiences and an ability to influence decision-making at senior levels.

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 .

How to apply

In Justice Digital, we recruit using a combination of the Government Digital and Data Profession Capability and Success Profiles Frameworks. We will assess your Experience, Technical Skills and the following Behaviours during the assessment process:

A diverse panel will review your application against the Person Specification above.

Successful candidates who meet the required standard will be invited to a 1 hour panel interview held via video conference. Candidates will also be required to provide a 5-minute presentation during the interview stage. Details of the presentation will be sent across prior to interview.

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

Please submit your application with:

• A CV outlining your employment history, roles, and achievements.
• A 750-word personal statement explaining how you meet the person specification.
• A 250-word response to the mandatory question below:

“How would you embed best practices in the automation of data pipelines within data reporting projects?”

We’ll assess you against the Civil Service Success Profiles and the GDD Capability Framework.

Please note: Applications that do not include an answer to the mandatory question or personal statement will be automatically rejected and will not be reviewed.

For those invited to interview, w e’ll focus on:

• Experience (how you’ve applied your skills in real-world contexts)
• Technical skills (particularly data modelling, engineering delivery and leadership)
• Behaviours , specifically:
  • Leadership
  • Developing Self and Others
  • Changing and Improving
  • Working Together

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.