Senior Data Analyst
Driver and Vehicle Standards Agency
- Department
- Driver and Vehicle Standards Agency
- Location
- Birmingham, Leeds, Bristol, Swansea, Nottingham, Newcastle, Oldham
- Openings
- 1 post
- Grade
- SEO
- Salary
- £44,241
- Closing
- 13 days left
- Profession
- DDaT
- Contract
- Permanent
- Security clearance
- BPSS
- Working pattern
- Flexible working, Full-time, Job share, Part-time
Job summary
The DVSA has an exciting new opportunity to join our existing team in the Digital and Data directorate. As DVSA is going through redesigning its teams and services to be more service led, there’s never been a better time to join the DVSA. The role will support DVSA’s mission to: “Keeping Britain moving safely and sustainably”.
Our Digital-first vision is supported by a clear strategy which allows our staff to develop and grow.
Joining our department comes with many benefits, including:
- Employer pension contribution of 28.97% of your salary. Read more about Civil Service Pensions here
- 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King’s birthday.
- Flexible working options where we encourage a great work-life balance.
Read more in the Benefits section below!
Find out more about what it's like working at Driver and Vehicle Standards Agency - Department for Transport Careers
What they’re looking for
- To be successful in this role you will need to have the following experience:
- Have a broad knowledge of data analysis techniques, use cases and potential impact, as well as the tools and technologies.
- The ability to handle and analyse large and complex sets of data.
- Have extensive experience in scoping, designing and delivering data analytical outputs and products.
- Work collaboratively with a range of experts in support of organisational objective.s
- Qualifications
- You must either:
- Hold a degree or equivalent qualification in a subject containing formal mathematical training (e.g. Statistics, Mathematics, Economics, Sciences, Business Studies etc) or;
- Have relevant and direct experience in a mathematics/data analytics role.
- Candidates must provide evidence of one of these qualifications or be withdrawn from the process.
- Working hours, office attendance and travel requirements
- Full time roles consist of 37 hours per week.
- Whilst we welcome applications from those looking to work with us on a part time basis, there is a business requirement for the successful candidate to be able to work at least 30 hours per week.
- Occasional travel to other offices will be required, which may involve overnight stays.
- This role is suitable for hybrid working, which is a non-contractual arrangement where a combination of workplace and home-based working can be accommodated subject to business requirements.
- The expectation at present is a minimum of 60% of your working time a month will be spent at either your designated workplace (one of the locations cited in the advert) or, when required for business reasons, in another office/work location. There may be occasions where you are required to attend above the minimum expectation.
- If you have a question about hybrid working, part time/job share hours, flexible working, travelling for work, or require a reasonable adjustment, please contact the Vacancy Holder during the recruitment process to avoid possible disappointment later in the process should your working arrangements not be compatible with the requirements of the role (see below for contact details).
- Visa Sponsorship
- Please note that we will only offer a sponsorship for a skilled worker visa where a role has been deemed to be business critical. This role does not meet that category, and we will not sponsor a visa. Therefore, this role is not open to applications from those who require sponsorship - candidates must ensure they have the appropriate right to work in the UK before applying. Should you apply for this role and be found to require sponsorship, your application will be rejected and any provisional offer of employment withdrawn.
Behaviours you’ll be assessed on
This advert says the panel will score you against these behaviours at SEO level. Each one links to worked examples.
Job description
Your responsibilities will include, but aren’t limited to:
- Lead and support DVSA by using data analysis to create change and participate in the development of data models and reports to find patterns in data and transform them into organisational insight.
- Engage with Service and Product owners to understand and define their data analysis requirements and make recommendations to address complex problems to inform strategic and operational decision making.
- Explore existing and new data using a range of analytical tools and techniques, whilst ensuring you use data ethically and appropriately.
- Lead and participate in data analysis initiatives and support foundation work to implement plans for the delivery of new data services and solutions for the business.
For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process.
Qualifications
You must either:
- Hold a degree or equivalent qualification in a subject containing formal mathematical training (e.g. Statistics, Mathematics, Economics, Sciences, Business Studies etc) or;
- have relevant and direct experience in a mathematics/data analytics role.
Nationality requirements
This job is broadly open to the following groups:
- UK nationals
- nationals of the Republic of Ireland
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
- individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
- Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
Further information on nationality requirements (opens in a new window)
Selection process
This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours, Experience and Technical skills.
Our selection process ensures a comprehensive assessment of each applicant's qualifications, skills, and potential fit within our organisation.
The selection process for this role will be:
Stage 1: Sift of CV and personal statement
Stage 2: Interview
You must be successful at each stage to progress to the next stage.
Stage 1: Sift
At sift, you will be assessed against the following Success Profile elements:
Experience – you will be asked to provide a CV (unlimited wordcount) and personal statement (1000 word count).
Please structure your Personal Statement to provide detailed evidence of each of the following:
- Please describe experience of effectively managing stakeholder expectations
- Please describe experience of bringing data together from different sources
- Please describe how you demonstrate skill in a number of data visualisation tools and techniques
The sift will take place week commencing 28th September 2026.
Stage 2: Interview
At interview stage, you will be assessed against the following Success Profile elements:
Behaviours –
- Communicating & Influencing
- Changing and Improving
Technical –
- Government Digital and Data Profession Capability Framework - Government Digital and Data Profession Capability Framework
- Senior Data Analyst - Communicating between the technical and non-technical ( Skill level: Practitioner)
- Senior Data Analyst – Applying statistical & analytical tools & techniques (Skill level: Practitioner)
- Senior Data Analyst – Developing code for analysis (Skill level: Practitioner)
- Senior Data Analyst – Delivering business impact through data (Skill level: Practitioner)
The interviews will take place week commencing 19th October 2026.
This interview will be conducted online via Microsoft Teams. Further details will be provided to you should you be selected for interview.
You can find out more about our hiring process, how to apply, and application and interview guidance on our careers site (opens in a new window).
Please note that we will try to meet the dates set out in the advert. There may be occasions when these dates will change.
Further information on the selection process
We will also hold a 12 reserve list for this role, which may lead to potential opportunities beyond the role you applied for.
Should we receive a large number of applications, we may invite a shortlist of the highest performing candidates to interview. This means that some applications that meet the required standard could be placed ‘on hold’ after the sift and invited to interview if the vacant position(s) remain unfilled. You will be notified if your application is being put ‘on hold’ once the sift has been completed.
Appointments for this position will be made in order of merit. If you are successful in the selection process but there are no further available posts for the advertised role, you may be contacted to discuss an offer for a lower graded role (with similar experience and responsibility requirements).
If you are unsuccessful in the selection process, your application may be considered for a lower graded position if your demonstrated skills and experience meet the requirements of the alternative position. Candidates will be considered in order of merit.
AI Tools and Platforms
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 for more information on appropriate and inappropriate use
Reasonable Adjustments
As a Disability Confident Leader employer, we are committed to ensuring that the recruitment process is fair, accessible and allows all candidates to perform at their best. If a person with a visible or non-visible disability is substantially disadvantaged, we have a duty to make reasonable changes to our processes.
Complete the “Assistance required” section in the “Additional requirements” page of your application form to tell us what changes or help you might need during the recruitment process. For instance, you may need wheelchair access at an interview, or if you’re deaf, a Language Service Professional.
If you need a reasonable adjustment so that you can complete your application, you should contact Government Recruitment Service via dftrecruitment.grs@cabinetoffice.gov.uk as soon as possible before the closing date to discuss your needs.
Document Accessibility
This job advert contains links to the DfT Careers website. Our website provides useful guidance and information that can support you during the application process. If you are experiencing accessibility problems with any attachments on this advert or the information on our website, please contact the email address in the 'Contact point for applicants' section.
Further Information
For more information about how we hire, and for useful tips on submitting your application for this role, visit the How We Hire page of our DfT Careers website. You can find detailed information about the recruitment process and what to expect when applying for a role.
Pre-employment Checking
If your application is successful but you have been dismissed from the Civil Service, your application could be removed at the pre-employment checking stage depending on the nature of the dismissal.
Applicants who are successful at interview will be, as part of pre-employment screening, subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicant’s details held on the IFD will be refused employment. A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5-year period following a dismissal for carrying out internal fraud against government.
All External applicants and current employees of accredited non-departmental public bodies (NDPBs) will be required to undergo a Social Media Check. A Social Media Check is a review of your publicly available online activity, typically across platforms like LinkedIn, Facebook, X (formerly Twitter), Instagram, and others. The purpose is to identify any public posts or content that could raise concerns for employers, such as:
Hate speech or discriminatory behaviour
Threats or acts of violence
Illegal activity or substance misuse
Sexually explicit material
Extremist views or affiliations
Importantly, this check does not involve hacking into your accounts or accessing private messages. It only considers content you have chosen to make public. Employers use this kind of screening to help ensure their workplace remains safe, inclusive, and aligned with company values. It’s not about judging your personality or lifestyle—it’s about checking for potential red flags that might affect the role or company culture. If you have questions or concerns about the social media check, we would be happy to explain in more detail what’s being looked at and how your data is handled securely and fairly.
Feedback
Feedback will only be provided if you attend an interview or assessment.
Practise before you apply
Civil Service panels score every answer against the Success Profiles behaviours at SEO level. Practise STAR answers and get them marked against the same framework.
3 free questions · No card needed
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