Applications for this job are now closed
We are the world’s leading global information services company. During life’s big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organisations to prevent identity fraud and crime.
We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximise every opportunity. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.
Our approach to flexible working
We care about work that works, whether that’s about where you work or adjusting your hours to fit better with your life. Our flexible working practices, including our hybrid working model where you can split your working time between the office and your home, support our belief that this balance brings long-lasting benefits for our business as well as ensuring that our people can balance successful careers with their commitments and interests outside of work. So that you can love where you work, please discuss what works for you with your recruiter during the hiring process.
Accepting you, for you.
We want you to feel accepted for who you are and to feel safe, valued and to help us build a culture of true belonging. Experian is proud to be an equal opportunity employer and we take affirmative action to create a more inclusive and equitable world of work. We are committed to equal employment opportunities regardless of age, disability, gender identity, marital status, race, ethnicity, faith or belief, sexual orientation, socioeconomic background, Veteran status or whether you’re pregnant or on family leave.
Job description
Experian is a global leader in Data and Analytics. We have access to incredibly rich data that can be packaged and delivered to clients in many different ways. But it is Analytics where we unlock the value in data and use it to help people, businesses and society.
As a Graduate Data Analyst at Experian, you’ll work in one of our business areas and be responsible (under guidance), for data analysis and model development to address a range of business problems. You’ll achieve this by developing your programming skills in commonly used industry wide languages such as Python, R, SQL or Scala in order to extract, manipulate and analyse data, helping to make sense of this data by deriving insights and trends. You may also have the chance to develop modelling skills through the application of predictive modelling techniques.
As you progress, you will broaden your knowledge of our business and increase your understanding of data governance, data operations processes, data intelligence, implementation and standardisation or automation of analytic procedures.
The variety of exciting work is what makes Experian the place to launch your career! Depending on the business area you join, you may also have the opportunity for job rotations.
If you choose to join us, you’ll receive industry training, wide-reaching career opportunities and a wealth of support through our Early Careers Network, buddy, line manager & mentor scheme. You’ll also join onto our 2-year structured Graduate Development Programme, which is packed with workshops, short-courses & online material designed to help kick-start your career.
Our concept is simple. We believe in expanding horizons – it’s what makes Experian a global leader and a Top UK Tech Employer.
Qualifications
You’ll have recently achieved or be on track to achieve a minimum 2:2 degree classification. Due to the technical nature of the role, a Bachelor’s degree with a high mathematical content (e.g. Computer Science, Data Science, Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences or Engineering) is encouraged.
Any knowledge of machine learning, computer programming (eg. SAS, Python or R), statistical techniques or data visualisation tools (eg. Tableau, PowerBI) is valuable but not essential to the role.
It’s important you’re the type of character who isn’t going to give up when you hit a complex problem. Proactivity and curiosity will be your best friends in this role.
Additional information
Application Closing Date: Sunday 4th December 2022. We aim to respond to all applications no later than the week after the closing date.
Start Date: September 2023
For this role we aim to hold online Assessment Centres W/C 16th January 2022 (*Subject to change)
Why choose us?
Our colleagues’ health and wellbeing are a top priority for us, that’s why our reward, benefits and wellbeing programmes are designed so you can come to work feeling your very best self. Our benefits focus on health, money, and lifestyle so you can tailor your benefits to your own personal needs. Whether it’s your physical and mental wellness, getting to work or preparing for the next big milestone in your life, we have a range of flexible options to have you covered!
We look forward to receiving your application!
