Analytics

Without analytics, Experian would simply supply a commodity: data. Analytics is where we add our expertise. It’s where we unlock the value in data and use it to help people, businesses and society.

As part of the team, you’ll analyse and derive insight from complex datasets, working to develop new and existing products and services and communicate key messages and analytical results to internal and external clients.

To thrive in this role, you’ll be inquisitive, keen to innovate and a natural problem solver. In return, you’ll enjoy a diverse and challenging workload that spans several business areas, plus the opportunity to quickly advance your career in a young, vibrant team.


Luiz - Analytics Team

‘At Experian, we have an environment where you always can say what you think about any subject. You’ll always be listened to. I think that's the best thing about the culture.’

Luiz, Forecasting Manager

Read Luiz's story


Career roles and paths

Coming in at graduate level, you’d typically join as a graduate analyst, moving up to a solutions analyst as you gain experience. Eventually you could start taking on more project management responsibility and progress to a senior solutions analyst.

From there, you could move towards team management as a solutions analyst and then a senior solutions analyst. Or, if you’re more drawn to consultancy and sales support, you might progress to become a solutions consultant and then a senior solutions consultant.

Throughout, you’ll have the support of your line manager, who’ll typically meet with you once a month to understand career aspirations and training and development needs.

Data modelling

Build bespoke models to predict a person or customer segment’s propensity to buy, potential spend, likelihood of churn, risk potential or likelihood to pay.

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Data engineering

In this more technical role, the focus is on gathering, preparing, processing and manipulating data to support data modelling.

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Analytics consultancy

Working closely with clients to understand their requirements, you will feedback the insights and ideas that help us develop bespoke new analytics solutions.

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Data science

Be heavily involved in research and development, with the freedom to come up with new ideas and access to our cutting-edge data processing facilities.

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Analytics engineering

Use software programming to develop and implement analytic algorithms and data processing tools.

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Diversity and inclusion

We believe our differences are things to be celebrated, and that the diversity of our workforce is a big part of our global success. We want everyone to succeed with us, regardless of their age, gender, sexuality, ethnicity, physical ability, experience or thinking style. We also look to adopt progressive policies, such as flexible working hours, to accommodate people’s individual circumstances.