9384 - Lead Analytics Engineer
| Posting date: | 30 August 2025 |
|---|---|
| Salary: | £58,511 to £70,725 per year |
| Additional salary information: | The national salary range is £58,511 - £65,329, London salary range is £63,343 - £70,725 Your salary will be dependent on your base location National: £58,511 - £65,329 (which may include an allowance of up to £16,014) London: £63,343 - £70,725 (which may include an allowance of up to £15,970) |
| Hours: | Full time |
| Closing date: | 14 September 2025 |
| Location: | UK |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | Ministry of Justice |
| Job type: | Permanent |
| Job reference: | 9384 |
Summary
Location: National*
Salary:
National: £58,511 - £65,329 (which may include an allowance of up to £16,014)
London: £63,343 - £70,725 (which may include an allowance of up to £15,970)
Interviews: Week commencing 6th October (this may be subject to change)
Grade: G7
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)
Working pattern: full-time, part-time, flexible working
Vacancy number: 9384
*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
We’re recruiting for a Lead Analytics Engineer here at the Ministry of Justice, to be part of our warm and collaborative Data & Analytics Engineering team.
This role aligns against Lead Analytics Engineer from the Government Digital and Data Framework.
This is a great opportunity to work with leading cloud technology and help change the way data is used in the public sector. Analytics engineers at MoJ play a critical role in our mission to put data at the heart of decision-making. We're looking for people with the drive to develop a deep understanding of data needs and data availability across specific areas of the Ministry of Justice. You will lead a team of Analytics Engineers, alongside a team of Data Engineers, to bridge the gap between data producers and data users, developing analytical pipelines and self-service tools to acquire and transform data, making it available on our Analytical Platform.
To help picture your life at MoJ Justice Digital please take a look at our blog and our Digital and Technology strategy 2025
Thank you for taking an interest in this role! A summary of the type of work the teams are involved in can be found in our handbook.
Key Responsibilities:
As a Lead Analytics Engineer your work might involve:
Gathering user requirements and translating them into clear, deliverable tasks.
Leading a team of Analytics Engineers build flexible, quality-assured dimensional data models for analytical and reporting use, using dbt.
Working with Data Engineers to manage end-to-end data services and to deploy solutions in a reproducible, sustainable way.
Supporting analytical teams to use modelled data effectively, including by collecting, storing and presenting metadata to enable intelligent data use.
Creating and promoting best practices within the analytics engineering community to develop our overall analytics engineering maturity, including developing technical standards and promoting the value and benefits of analytics engineering.
Keeping up to date with current trends and best practices in analytics engineering for continuous improvement
Championing across the department and wider community the benefits of analytics engineering to create a “single version of the truth”
Managing, mentoring or coaching junior colleagues
If this feels like an exciting challenge, something you are enthusiastic about, and you want to join our team please read on and apply!
Benefits
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 developing & growing
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.
Bike loans up to £2500 and secure bike parking (subject to availability and location)
Season ticket loans, childcare vouchers and eye-care vouchers.
5 days volunteering paid leave.
Free membership to BCS, the Chartered Institute for IT.
Some offices may have a subsidised onsite Gym.
Person Specification
Essential:
Using SQL to query and transform data
Leading a technical team, preferably one that uses dimensional modelling to support reporting or analysis
Designing data solutions that meet business needs while following recognised patterns and standards
Designing, implementing and communicating appropriate data testing and quality assurance processes.
Setting technical direction within a team and developing the capability of others
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.
Salary:
National: £58,511 - £65,329 (which may include an allowance of up to £16,014)
London: £63,343 - £70,725 (which may include an allowance of up to £15,970)
Interviews: Week commencing 6th October (this may be subject to change)
Grade: G7
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)
Working pattern: full-time, part-time, flexible working
Vacancy number: 9384
*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
We’re recruiting for a Lead Analytics Engineer here at the Ministry of Justice, to be part of our warm and collaborative Data & Analytics Engineering team.
This role aligns against Lead Analytics Engineer from the Government Digital and Data Framework.
This is a great opportunity to work with leading cloud technology and help change the way data is used in the public sector. Analytics engineers at MoJ play a critical role in our mission to put data at the heart of decision-making. We're looking for people with the drive to develop a deep understanding of data needs and data availability across specific areas of the Ministry of Justice. You will lead a team of Analytics Engineers, alongside a team of Data Engineers, to bridge the gap between data producers and data users, developing analytical pipelines and self-service tools to acquire and transform data, making it available on our Analytical Platform.
To help picture your life at MoJ Justice Digital please take a look at our blog and our Digital and Technology strategy 2025
Thank you for taking an interest in this role! A summary of the type of work the teams are involved in can be found in our handbook.
Key Responsibilities:
As a Lead Analytics Engineer your work might involve:
Gathering user requirements and translating them into clear, deliverable tasks.
Leading a team of Analytics Engineers build flexible, quality-assured dimensional data models for analytical and reporting use, using dbt.
Working with Data Engineers to manage end-to-end data services and to deploy solutions in a reproducible, sustainable way.
Supporting analytical teams to use modelled data effectively, including by collecting, storing and presenting metadata to enable intelligent data use.
Creating and promoting best practices within the analytics engineering community to develop our overall analytics engineering maturity, including developing technical standards and promoting the value and benefits of analytics engineering.
Keeping up to date with current trends and best practices in analytics engineering for continuous improvement
Championing across the department and wider community the benefits of analytics engineering to create a “single version of the truth”
Managing, mentoring or coaching junior colleagues
If this feels like an exciting challenge, something you are enthusiastic about, and you want to join our team please read on and apply!
Benefits
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 developing & growing
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.
Bike loans up to £2500 and secure bike parking (subject to availability and location)
Season ticket loans, childcare vouchers and eye-care vouchers.
5 days volunteering paid leave.
Free membership to BCS, the Chartered Institute for IT.
Some offices may have a subsidised onsite Gym.
Person Specification
Essential:
Using SQL to query and transform data
Leading a technical team, preferably one that uses dimensional modelling to support reporting or analysis
Designing data solutions that meet business needs while following recognised patterns and standards
Designing, implementing and communicating appropriate data testing and quality assurance processes.
Setting technical direction within a team and developing the capability of others
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.