Junior Data Analyst

We are hiring for a fundamental role within our Marketing Analytics team. The Junior Data Analyst position is an important role within the department, reporting into the Analytics Manager.

You will deliver analytical projects; this will involve analysing different data sets, getting to the bottom of what is going on with the data and communicating your findings to different stakeholders within Experian.

Working with your team, you will blend a knowledge of mathematical, analytical or spatial techniques with a natural curiosity for understanding and analysing data.

This role for a person like you - talented with a numerical or data analysis background to play an important part in an exciting area of the Experian business!

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 accomplish 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

What you'll bring:

• Data analysis and interpretation skills
• Analytical thinking
• Mathematical competency
• Geospatial/GIS knowledge

The following additional skills would be advantageous but not essential:

• Regression Modelling
• Segmentation
• Machine Learning
• Location analysis

We're after a team player who enjoys solving problems and has a desire to deliver analysis projects to budgeted time, with accuracy, using core analytical techniques and applications.

It would be great if you have previous experience of data analysis and interpretation and an understanding of any programming languages and applications such as:

• Python
• R
• Tableau or PowerBI
• Alteryx
• SAS