$ cat jobs/data-researcher-full-time-hybrid-office-remote-beauhurst-4dad4bd7e963.json
Data Researcher – Full Time (hybrid – office/remote)
*Please only apply for this role if you have already graduated from your degree Have you ever wondered how some of the most ambitious and successful companies in the UK (think Deliveroo & Monzo) grow so rapidly? We’re looking for bright and inquisitive people to help us shine a light on these companies. This entry level role is perfect for anyone who loves learning new things and often finds themselves falling into online rabbit holes (fans of “The Wikipedia Game”, we’re looking for you). Come and join our close-knit team (check out our Glassdoor to see just how great our culture is) and help us with our deep dive into online research! If this sounds right up your street then read on... About Beauhurst We are building the leading provider of private company data in Europe. Private companies represent 80% of private sector employment and over 90% of revenues across Europe. They are the backbone of our economy – creating jobs, driving innovation, and generating the tax receipts that enable government services. Yet finding, collecting, and understanding information about private companies remains a significant challenge. We bridge this gap by providing our customers with comprehensive, up-to-date private company information. Our online platforms and API help our clients to discover, track and understand these companies. This empowers them to take informed action, whether they're offering services or funding to help companies grow, crafting supportive policies, or making better decisions through deeper understanding of the economic landscape. We work with venture capital firms, big financial institutions, leading universities and the Government to help them find and work with companies that drive disruption and innovation across the economy. The Role Our Data team is vital in ensuring our data is of excellent quality. Our aim is to investigate companies and their activities, continually adding a wide range of data points, whilst working on a whole range of other importa