Senior Data Scientist Analyst

Role Overview

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

What You Will Do

Strong analytical capacity to monitor metrics, conversion rates and performance indicators. Experience in identifying and tracking operational incidents, proposing corrective and preventive actions. Ability to transform data and customer feedback into insights and opportunities for product improvement.

Why It Might Be a Fit

Proactive profile, oriented to results and continuous improvement of user experience. Analytical profile, oriented to data and with strong problem-solving skills.

Requirements

• Strong analytical capacity to monitor metrics, conversion rates and performance indicators
• Experience in identifying and tracking operational incidents, proposing corrective and preventive actions
• Ability to transform data and customer feedback into insights and opportunities for product improvement
• Knowledge of product metrics, KPIs and OKRs
• Experience with data analysis and visualization tools, such as Power BI, Tableau or similar
• Knowledge in SQL for data extraction, treatment and analysis
• Ability to work collaboratively with multidisciplinary teams, supporting priorities and decision-making
• Excellent communication and organization skills for stakeholder relationships and initiative tracking
• Proactive profile, oriented to results and continuous improvement of user experience
• Higher education in Statistics, Computer Science, Engineering, Economics or related areas
• Solid experience with Python and SQL for data manipulation, analysis and modeling
• Knowledge in statistical modeling and Machine Learning techniques, including regression, decision trees and boosting algorithms
• Experience in designing, executing and interpreting A/B tests and other experimentation initiatives
• Experience with data visualization and Business Intelligence tools, such as Power BI, Tableau or similar
• Familiarity with cloud environments, such as AWS, GCP or Azure
• Ability to transform complex analyses into clear insights and recommendations for business areas
• Analytical profile, oriented to data and with strong problem-solving skills
• Desirable experience in financial products, credit, collection or debt recovery
• Knowledge of credit scoring techniques will be considered a differential