At a Glance
- Tasks: Lead a team to develop innovative data solutions and analytical pipelines.
- Company: Join the Ministry of Justice, a forward-thinking public sector organisation.
- Benefits: Enjoy flexible working, generous leave, and a strong pension scheme.
- Other info: Opportunities for personal development and career growth await you.
- Why this job: Make a real impact on public services through data-driven decision-making.
- Qualifications: Experience in SQL and leading technical teams is essential.
The predicted salary is between 58511 - 70725 £ per year.
This position is based Nationally.
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.
We’re recruiting for Lead Analytics Engineers across a range of roles here at the Ministry of Justice, to be part of our warm and collaborative Data & Analytics Engineering community. 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, working alongside 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.
Key Responsibilities:
- Gathering user requirements and translating them into clear, deliverable tasks.
- Leading a team of Analytics Engineers to 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.
Essential:
- Using SQL to query and transform data.
- Leading a technical team, preferably one that uses data 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.
- 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.
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.
- Employees are allocated 10% of their working time for personal and professional development.
- A £1,000 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.
If this feels like an exciting challenge, something you are enthusiastic about, and you want to join our team please read on and apply!
Lead Analytics Engineer (Ref: 22188) in Edinburgh employer: Government Recruitment Service
The Ministry of Justice is an exceptional employer, offering a dynamic and inclusive work environment where finance professionals can thrive. With a strong commitment to employee development, flexible working options, and a robust pension scheme, the MoJ fosters a culture of collaboration and innovation, ensuring that every team member has the opportunity to influence key financial strategies that impact the nation. Located nationally, this role provides the unique advantage of engaging with diverse stakeholders across the UK, making it a rewarding place for those seeking meaningful contributions to public service.
Contact Details:
Government Recruitment Service Recruitment Team
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We think this is how you could land Lead Analytics Engineer (Ref: 22188) in Edinburgh
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We think you need these skills to ace Lead Analytics Engineer (Ref: 22188) in Edinburgh
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
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