Company Description

Experian is a integral 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 realize 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.

Job Description

You will be part of a very dynamic and fast-growing Analytics team at Experian Spain, and you will develop analytical solutions to the benefit of our clients and their customers.



You will collect and analyze large datasets to uncover insights and create solutions that support organizational goals, in the field of credit life cycle, risk management, fraud modelling or marketing. Technical, analytical, and communication skills are needed to interpret data and influence decision-making.
Main responsibilities:
· Data Processing: Implementing processes to clean, transform, and organize raw data for analysis
· Optimization: Enhancing data delivery and automating manual processes to improve efficiency
· Data Analysis: Analyzing large volumes of structured and unstructured data to identify trends and patterns
· Data Visualization: Creating visual reports to clarify business pain points.
· Big data platforms: Using data/analytical platforms like Databricks, Cloudera, ...
· Statistical Techniques: Using statistical techniques to validate findings and ensure accuracy
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📌 Data Scientist (Granada)
🏢 Experian
📍 Granada