Graduate Data Analyst

Experian is a global leader in Data and Analytics. We have access to rich data that can be packaged and delivered to clients in many different ways. However, it's Analytics where we unlock the value in data and use it to help people, businesses and society.

Reporting into a Analytics leader, as a Graduate Data Analyst you’ll 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 to extract, manipulate and analyse data to find insights and trends. You may also have the chance to develop modelling skills through applying predictive modelling techniques as well as leveraging the latest AI tooling to explore and understand data trends.

As you progress, you'll rotate around different areas to 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.

Our Graduate roles are permanent opportunities, and you'll take part in our 2 year structured Early Careers Development Programme which is packed with workshops, short-courses and online material designed to help kick-start your career.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com

To be eligible to join this Graduate Programme, you'll need:

• Legal right to work in the UK for the duration of the graduate programme: this role is not capable of visa sponsorship.
• A minimum 2:2 degree classification in a Bachelor's degree with a high mathematical content (e.g. Computer Science, Data Science, Mathematics, Statistics, Operations Research, Economics, Physical Sciences or Engineering).
• To have graduated within the last three years (2024, 2025 or 2026 graduates)
• Any knowledge of machine learning, computer programming (eg. SAS, Python or R), statistical techniques or data visualisation tools (eg. Tableau, PowerBI) is desirable but not essential to the role.

It’s important that 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.

This role is based in Nottingham and requires you to work in the office at least twice weekly. Please only apply if this would be a suitable location for you.

Application Closing Date: Monday 26th January. Apply early! Roles may close sooner than expected due to high interest.

Start Date: September 2026

Starting Salary: £32,000

For this role we aim to hold online Assessment Centres on week commencing 23rd February* (*Subject to change)

Benefits package includes:

• Hybrid working #LI-Hybrid
• Great compensation package and discretionary bonus plan
• Core benefits include pension, bupa healthcare, sharesave scheme and more!
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important 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, religion, 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.

#LI-DNI

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