Graduate Data Analyst

United Kingdom - Malmesbury Office

About us

Dyson is a global technology enterprise.  We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better.  We’re driven by progress and thrive on the challenge of relentless improvement.  We’re growing fast and our ambition is huge – more categories, more locations, and more people.

Our scale and rapid growth make Dyson rich in new opportunities.   We value new ideas and diverse perspectives, so our people are trusted with real work and responsibility from the outset.  You’ll develop fast and have the chance to move into different business areas and regions.  And you’ll be part of a global network of curious people – a community that supports and learns from each other.

At Dyson we do things differently.  We look for the brightest new graduates with the right attitude to thrive in our unique culture.  We offer real jobs with real salaries and real prospects.  We need self-starters, people who are motivated and drive themselves forward.  You can’t sit back and wait to be told what to do.  You will have autonomy and freedom to excel and will be pushed forward to become our future leaders.

About the role

We push the boundaries of what others have defined as possible.  Our engineering approach starts with different thinking.  Then we continuously refine our ideas – unwilling to compromise and driven by an obsession for finding a better way.  Today we employ more than 5,800 people around the world in software engineering, mechanical engineering and science related roles.

You will join the Data and Analytics team in our world class Research Design and Development department.  We are responsible for global reporting and analysis of projects during product development.  The team play a vital role in supporting the engineering function of over 4000 technicians, scientists and engineers worldwide enabling Dyson to deliver new products to market every year.

Data Analysts are involved in a wide range of activities, from information gathering, capturing requirements, building reports, writing code and sharing insights with our stakeholders.  You will display excellent business focus and sound technical skills and could be involved with any of the following:

  • Supporting the team in maintaining existing reports and dashboards 

  • Capturing clear requirements directly from business stakeholders 

  • Developing great relationships with business teams by fully empathising with their needs 

  • Creating analytical solutions that impress, inspire and become essential tools   

  • Communicating insights to a wide audience 

  • Using graphical skills to share key news stories 

Working with the team and interacting across business stakeholders, you’ll be comfortable learning from others but also sharing your own knowledge, ideas and opinions.

Graduate Programme

Embark on a transformative journey with our two-year Graduate programme designed for your career success. Our unique experiential journey provides a framework so you can reach your full potential with leadership talks, development workshops and more, all whilst surrounded by industry leading experts. Join us to unlock personal and professional growth and ignite your career potential.

Please note

  • We do not offer hybrid/remote working for this position

  • This role is based in Malmesbury, UK and the start date is September 2024

  • We ask that you provide evidence of your work with your application if relevant (e.g., website or portfolio)

About you

You will be contributing to the delivery of the next generation of Dyson technology, so you will need to:

  • be working towards or have achieved a degree discipline and be interested in data and how it is presented to aid decision making.

  • be in your penultimate year of your undergraduate or combined masters degree programme (exceptions allowed for 5 year programmes with a placement in the third year). 

  • able to evidence how you have applied your knowledge to solve problems, either through your university projects or as part of your extra-curricular activities

  • an enthusiastic individual who is a great communicator and loves to use data to share insights with others.

  • enthusiastic about data analysis and presentation to aid decision making.

  • graphic design or artistic skills to present data in a compelling way

  • happy to build your own networks to learn from the technical expertise around you.

  • creative problem solver with the ability to multitask in a rapidly changing environment.   

  • passionate about Dyson and our technology to help us meet our ambitious future plans.

Working for us

Our workforce is spread across various countries, each with its own unique regulations, cultural norms, and societal expectations. As a result, we continuously review and adjust our benefits offerings to ensure they align with the evolving needs and expectations of our diverse workforce. Our goal is to provide competitive and meaningful benefits while creating an inclusive environment where all employees feel valued and supported, regardless of where they are located or their employment status.


Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data analysis Engineering Excel Research

Perks/benefits: Career development Startup environment Team events

Region: Europe
Country: United Kingdom
Job stats:  14  3  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.