Jobs

Analytics Engineer (2 roles available), Data Directorate, Ministry of Justice (Ref: 90168)


Job details
  • Ministry of Justice
  • 1 week ago

Job summary

This position is based nationally.

Job description

Analytics Engineer (HEO),�Data Directorate, Ministry of Justice

Hello!

Welcome to the Data & Analysis directorate at the Ministry of Justice and thank you for taking an interest in this role. We�re�looking for�2�Analytics Engineers to join our growing team. The successful candidates will join the Data Modelling and Engineering Team (DMET), although we also work closely with the Data Platform team.�A summary of the type of work the teams are involved in can be found in�our�.�We're also hosting a webinar on Monday 2nd September 2024 from 18:00 to 19:00 for anyone interested in learning more about the team and the roles we�re currently recruiting. You can�.

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 work in a team of Analytics Engineers, 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�.

As an Analytics Engineer, your work might involve:

gathering requirements and translating these into clear deliverables working with data engineers and members of our data platform teams to prioritise, plan and deliver work turning needs and opportunities into flexible, quality-assured, dimensional models for use by analysts and data scientists and ensuring dimensions are conformed wherever possible ensuring content is complete and accurate, and producing summary outputs to demonstrate this completeness and accuracy providing tools to collect, store and present metadata and documentation that enable people to use data intelligently drawing attention to data quality / data governance issues acting as a key point of contact for our analytical user community, helping data users to automate their work, supporting them with tools like dbt and Airflow

About you

We welcome applications from anyone with the skills we consider to make a good analytics engineer. You may not currently be in an analytics engineering role and that's ok. Many of our team have a background in analysis, data science, software engineering, and much more.

Below, we list a number of skills we are looking for in candidates. If you don't have experience with all of these then that's all right, we get it, it's a long list! We encourage you to still apply and give us the chance to consider your application. A key attribute we're interested in is the willingness and ability to learn; learning and development is something we value and prioritise within our community.

There are some tips toward the end of this advert about how to apply - we strongly recommend you read these, especially if you're new to applying for roles in the Civil Service.

We are looking for people with experience in the following:

SQL working with large relational databases testing and quality assuring data

It's a bonus if you also have experience of:

Python, R or any other programming languages building data and analytical pipelines dimensional modelling including designing and populating star schemas working with business intelligence tools working to improve data quality working with data and analytics services in the cloud version control tools, such as git working in an agile environment

We make our workplace as inclusive as we can. Find out more about�.�

Salary and benefits

London: �37,174 - �40,403. National: �32,827 - �35,678.

You'll also get:

a generous defined benefit pension, with employer contributions from 26% to 30% flexible working options, including part-year working, term-time working, reduced hours, compressed hours and job sharing 26 days leave (plus bank holidays), rising to 31 days after 5 years compassionate maternity, adoption, and shared parental leave, with up to 26 weeks leave at full pay, 13 weeks with partial pay, and 13 weeks further leave training and development opportunities, including access to Pluralsight, DataCamp and Civil Service Learning 5 days paid volunteering leave a cycle to work scheme season ticket loans, childcare vouchers and eyecare vouchers a quarterly reward and recognition scheme exclusive deals on travel, food, and entertainment secure bike parking and subsidised onsite gyms (subject to location)

Location

We welcome applications from candidates based across the UK. Candidates will have the option of being based in the Leeds or London HQ offices (with flexible working arrangements available) or your nearest Justice Collaboration Centre or Justice Satellite Office:�.

Recruitment process

You'll need to apply online by submitting:

an anonymised CV, including career history, responsibilities, and achievements a statement of suitability, explaining why you're the right person for the job and how you meet the criteria above � this should be no longer than 750 words

There will be an initial sift of applicants, comparing submitted evidence against the �About you� criteria. We�ll assess your application and get back to you in around two weeks to let you know if we�d like to invite you to an interview.

The interview

There will be one interview, covered in two sections, which will include a technical exercise and assessment of civil service behaviours. The interview will take place via Microsoft Teams.

The purpose of the technical exercise is to test your technical skills. The exercise will last one hour and will involve completing some SQL code, and stating how you would design a data pipeline to solve a specific, given user need. More information on the exercise will be provided to candidates invited to interview.

In the second section of the interview, candidates will be assessed against the following civil service behaviours:

Working Together Changing and Improving

You can find out more about behaviours via the�.

We recommend that you use the STAR approach � situation, task, action, and result � when structuring your answers. Further information can be found on the�.

Interviews are likely to take place in October 2024. The highest scoring candidates who pass the interview will be offered a role. If you do well at the interview but we don't offer you a role right now, we'll keep your details for a year and let you know if other opportunities come up. The whole process can take up to a month.

Further Information�

If you require any additional information about the role, please contact:

You can also ask questions at the webinar on Monday 2nd September -�.

Person specification

Please refer to Job Description

Behaviours

We'll assess you against these behaviours during the selection process:

Working Together Changing and Improving

Benefits

Alongside your salary of �32,827, Ministry of Justice contributes �9,509 towards you being a member of the Civil Service Defined Benefit Pension scheme. Access to learning and developmentA working environment that supports a range of flexible working options to enhance your work life balanceA working culture which encourages inclusion and diversityA with an average employer contribution of 27%Annual LeavePublic HolidaysSeason Ticket Advance



For more information about the recruitment process, benefits and allowances and answers to general queries, please click the below link which will direct you to our Candidate Information Page.

Link:

Sign up for our newsletter

The latest news, articles, and resources, sent to your inbox weekly.

Similar Jobs

Analytics Engineer

SENIOR ANALYTICS ENGINEERHYBRID - LONDON (1 DAY A MONTH)£70,000 - £80,000THE COMPANYJoin a passionate, purpose-driven business that’s revolutionizing the way customers nationwide reduce waste. By combining the traditional milk round with modern technology, they’ve created a convenient, eco-friendly service that partners with independent dairies and suppliers. Offering not just milk...

Harnham London

Analytics Engineer

Job DescriptionHow You'll Make an ImpactAs an Analytics Engineer you will be Spearheading Yieldify's/Epsilon's reporting practices by leading on projects such as developing unique attribution models, applying new statistical interpretations methods, and identifying key drivers of our technology's success. Being part of the Engineering team, your remit will be global...

Fairfield, Greater London

Analytics Engineer

Job DescriptionHow You'll Make an ImpactAs an Analytics Engineer you will be Spearheading Yieldify's/Epsilon's reporting practices by leading on projects such as developing unique attribution models, applying new statistical interpretations methods, and identifying key drivers of our technology's success. Being part of the Engineering team, your remit will be global...

Hounslow

Analytics Engineer

Job DescriptionHow You'll Make an ImpactAs an Analytics Engineer you will be Spearheading Yieldify's/Epsilon's reporting practices by leading on projects such as developing unique attribution models, applying new statistical interpretations methods, and identifying key drivers of our technology's success. Being part of the Engineering team, your remit will be global...

Dartford

Analytics Engineer

Job DescriptionHow You'll Make an ImpactAs an Analytics Engineer you will be Spearheading Yieldify's/Epsilon's reporting practices by leading on projects such as developing unique attribution models, applying new statistical interpretations methods, and identifying key drivers of our technology's success. Being part of the Engineering team, your remit will be global...

Grove, Greater London

Analytics Engineer

Job DescriptionHow You'll Make an ImpactAs an Analytics Engineer you will be Spearheading Yieldify's/Epsilon's reporting practices by leading on projects such as developing unique attribution models, applying new statistical interpretations methods, and identifying key drivers of our technology's success. Being part of the Engineering team, your remit will be global...

Weavering