You’ve probably heard of Autotrader, but do you know what we’re all about?
We're the most trusted, most visited automotive marketplace in the UK. A heritage brand and a tech innovator. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans.
In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously.
At our core,we’re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.
Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.
About the Job
Our people-centred culture, combined with our tech and data expertise, makes us one of the UK's leading technology companies and a great place to start your career as a Data Analyst.
Our Data Analysts are data experts within the business. They curate and analyse data that supports key decisions and solutions for our customers, colleagues and consumers. They aren’t just interested in trends; they seek to understand the why and how within the data, using analytical techniques such as hypothesis testing, statistical modelling, and machine learning.
Our Data Analysts are very collaborative, working with a range of disciplines within their teams, including product leads, software engineers, and other data analysts/scientists, to find the best solution.
All of our graduates start their careers in our in-house academy. We'll help build your knowledge of the automotive industry, and you also don't need to love cars to work here. Following the academy, you will join one of our product & technology teams and have a dedicated Data Analyst to support you daily in developing the skills and experience key to your role. This will include shadowing, pairing, and gradually taking on independence with your own tasks and projects. You’ll have the opportunity to work on many different analytical problems and undergo training to develop skills key to the role.
You will use a range of tools, including Looker, SQL, dbt, and Python. We provide bespoke internal training courses to support any development needs - there is no need to have prior experience with them.
Our graduate programme starts in October 2026.
You can read more about "Life as a Graduate Data Analyst" here and our analytics community here .
What we're looking for
- You’ll be a graduate (or graduating in 2026) in any degree discipline, or hold a level 6 qualification, with a passion for coding, technology and analytics
- You should have a basic understanding of (or desire to learn) data analysis concepts, including techniques like regression and hypothesis testing, and be eager to further develop these skills
- You’ll have a desire to learn new technologies – a large part of this role involves coding
- You'll have experience cleaning, analysing and presenting data. We'd love to hear examples of this in your application.
- As a digital business, we're constantly evolving, so the ability to adapt to an ever-changing landscape is a must
During our application process, you will be asked three questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria to determine if we progress your application further. To help you submit your best application, you can check out our application top tips video here .
Our Graduate programme is designed to equip you with the skills, knowledge and experiences needed to really kick start your career. In this permanent role, your journey starts in our academy foundation, where, alongside other graduates from across our communities, you will be learning about our company, culture, industry, customers, how we work, how you work, and so much more. You’ll then focus on developing the knowledge and skills for your specific role, whilst working on practical projects with your cohort, supported by mentors, your dedicated line manager, your team, as well as the Early Careers team. For full details, visit our early careers blog here
Benefits and more
We’re offering a salary of £30,000, plus an additional 10% of your salary, awarded in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.
You'll have 28 days' holiday per year, and that's in addition to bank holidays and half-day closures on Christmas and New Year's Eve.
That’s not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.
We always want to give you the support you need and help prioritise your wellbeing, that’s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.
On top of all that, our hybrid model, Connected Working, combines the best of both worlds – office and home working. You’ll have two fixed weekly office days for team collaboration, plus one more day of your choice to suit your work-life balance.
Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.
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Please note, we only offer sponsorship for Principal Engineer and Technical Lead roles.
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If you have attended university more than once, please enter the most recent place of study.
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For our graduate roles you must have graduated in the past 5 years.
Tell us why you are interested in a career as a Graduate Data Analyst?As part as of your answer we want to hear about your own skills and strengths and where your interest in analytics came from. *
These questions are important to us and form part of our selection criteria. Answers which are not relevant or incomplete will result in your application being rejected.
We recognise the value AI brings, but we're eager to hear your unique voice so please refrain from copying and pasting content from AI tools like Chat GPT. For more AI application tips, read this blog .
Click here to find out more about our application process and top tips to guide you through this application.
We recommend your answer is no more than 250 words.
CVs don’t tell us everything, and we'd love to learn more about you. Please share your relevant skills and strengths that would help you succeed in this role as a Data Analyst. *
Our company values are (super) important to us, please share an example of how you have displayed one of the Autotrader values, in either your own, education or work time. *
We recommend your answer is no more than 250 words.
These questions are important to us and form part of our selection criteria. Answers which are not relevant or incomplete will result in your application being rejected.
We recognise the value AI brings, but we're eager to hear your unique voice so please refrain from copying and pasting content from AI tools like Chat GPT. For more AI application tips, read this blog .
Click here to find out more about our application process and top tips to guide you through this application.
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Women in the driving seat podcast
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We're a disability confident leader. We offer a first stage interview to any applicant who identifies as disabled and meets the minimum criteria for the role.
We are committed to making Auto Trader a diverse and inclusive environment for everyone. For us to be successful, we want to attract and build a group of people where everyone is unique in their own way.
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