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
Life as a Data Analyst is all about having a curious mind. As an Industrial Placement Student at Experian, you’ll work in one of our business areas and use programming languages like SQL, SAS and Python to extract, manipulate and analyse data.
You’ll also help to make sense of this data by deriving insights and trends! Day to day you could be contributing to data reports, MI or even working on a product proof-of-concept for future clients (where you take a sample of data from a client and assess what benefit that future product could offer them).
Throughout this industrial placement, communication skills are important as you’ll be working with a variety of people and may have to translate technical work to non-technical stakeholders. You will also have chance to put your creative flair to use, through understanding our processes and suggesting enhancements for the future. We actively want you to challenge the way we do things.
If you want to work with interesting data, apply your analytical skills to real-world scenarios and help Experian unlock new opportunities for our clients and consumers, then this is the Industrial Placement for you!
For the last 15 years, we’ve successfully trained Industrial Placement Students within Data Analytics, many of whom go on to re-join us after graduating. It’s an exciting time, and we want you on board. If you choose to join us, you can expect industry training, wide-reaching career opportunities and a wealth of support through our Early Careers Network, buddy, line manager & mentor scheme.
Our concept is simple. We believe in expanding horizons – it’s what makes Experian a global leader and a Top UK Tech Employer.
Qualifications
To apply for this opportunity, you must be able to undertake a year in industry placement during July 2023 until August 2024 as part of your undergraduate degree at a UK University and be on track to graduate in 2025.
Due to the technical nature of this role it’s important you have a numerate background. In most cases, our Data Analyst Placement students will be studying towards a Bachelor’s degree course with a high mathematical content (for example Computer Science, Data Science, Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences, Engineering etc).
Any knowledge of machine learning, computer programming, statistical techniques (eg. SAS/SPSS, or R) or data visualisation tools (eg. Tableau) is valuable but not essential to the role.
It’s also key to be an analytical thinker, have good communication skills and a thirst for learning.
Additional Information
- Application Closing Date: Sunday 30th October 2022. We aim to respond to all applications no later than the week after the closing date.
- Start Date: July 2023
- End Date: August 2024
For this role we aim to hold online Assessment Centres W/C 5th December 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!
