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's 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.
Our uniqueness is that we truly celebrate yours.
Experian's culture and people are key differentiators. We take our people agenda very seriously. We focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. We’re an award winning organisation due to our strong people first approach.
Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
We look forward to receiving your application.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
What we are looking for
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.
You must be graduating in 2024 or have graduated within the last three years (2021, 2022 or 2023 graduates).
Whilst we have adopted a hybrid way of working, this role is based in Nottingham and requires the successful applicant to work in the office at least two days per week. Please only apply if this location would be suitable for you.
Accepted degree subjects
Any
Additional job details
- Workplace
- Hybrid, or partially remote
- Location
- Nottingham
- Salary
- £31,000
- Contract, dates and working times
- Permanent
Full-time
How to apply
Application Closing Date: Sunday 26th November 2023. We aim to respond to all applications no later than the week after the closing date.
Start Date: September 2024
For this role we aim to hold online Assessment Centres W/C 22nd January 2024 (*Subject to change)
Click here to read our Early Careers guide for candidates
Click Apply to start your application now. This job will be available on Prospects until 26 November 2023
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Closing date: 26 November 2023