Senior Data Analyst in Swansea

This job is with Driver and Vehicle Standards Agency , an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the job 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 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. Person specification 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. 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. Behaviours We'll assess you against these behaviours during the selection process: Changing and Improving Communicating and Influencing Technical skills We'll assess you against these technical skills during the selection process: Senior Data Analyst - communicating between the technical and non technical - Level: practitioner - Interview Senior Data Analyst - Applying statistical tools and techniques - Level: practitioner - Interview Senior Data Analyst - developing code for analysis - Level: practitioner - Interview Senior Data Analyst - delivering business impact through data - Level: practitioner - Interview Benefits Alongside your salary of £44,241, Driver and Vehicle Standards Agency contributes£12,816 towards you being a member of the Civil Service Defined Benefit Pension scheme.Find out what benefits a Civil Service Pension provides (opens in a new window). Being part of our brilliant Civil Service means you will have access to a wide range of fantastic benefits: 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). 8 Bank Holidays plus an additional Privilege Day to mark the King's birthday. Access to the staff discount portal. Excellent career development opportunities and the potential to undertake professional qualifications relevant to your role paid for by the department, such as CIPD, Prince2, apprenticeships, etc. Joining a diverse and inclusive workforce with a range of staff communities to support all our colleagues. 24-hour Employee Assistance Programme providing free confidential help and advice for staff. Flexible working options where we encourage a great work-life balance. Find out more about the benefits of working at DfT and its agencies (opens in a new window). Things you need to know 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 (opens in a new window) for more information on appropriate and inappropriate use. Selection process details 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