**Company Description** Experian is a global data and technology company that drives opportunities for individuals and businesses around the world. We help redefine lending practices, detect and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all by leveraging our unique combination of data, analytics, and software. We also assist millions of people in achieving their financial goals and help them save time and money. We operate across a variety of markets, including financial services, healthcare, automotive, agribusiness, insurance, and many other industry segments. We invest in people and advanced new technologies to unlock the power of data. As a FTSE 100 company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are located in Dublin, Ireland. Learn more at experianplc.com. **Job Description** **Descripción del trabajo** An Analytics Data Modeler interprets data and transforms it into actionable information to provide ways to improve a business based on commercial decisions. Factory analysts gather information from diverse sources and interpret patterns and trends. Once data is processed, the individual must be able to report results with the highest possible quality and clarity to different business units. The candidate should be open to innovation and current trends. * Understand and examine different data sources, platforms, and algorithms * Develop and maintain statistical models oriented toward Credit Scoring, segmentation, and fraud prevention, meeting established objectives in terms of quality, cost, and time. * Design various types of reports tailored to business needs * Make proposals customized to the needs of internal and/or external clients, fulfilling expectations to achieve the highest satisfaction level. * Execute already standardized processes and propose new standards for the overall area. * Work with internal and external users to identify data requirements and delivery mechanisms. **Qualifications** **Calificaciones** * Professional and postgraduate education: Degrees in Financial Engineering, Statistics, Mathematics, Economics, or Systems Engineering. * Technical knowledge: Programming languages: Python (essential), Spark (essential), SQL (essential), R (desirable), and Pandas (desirable). * Intermediate English proficiency * • Time and priority management • Communication skills • Time and priority management • Goal setting and execution • Previous experience in Banking, Telecommunications, or IT preferred • Teamwork * More than 3 years of experience using the described technical requirements focused on Analytics and/or Business Intelligence. **Additional Information** What sets us apart is that we celebrate what makes us different. Experian's culture and people are key differentiators. We take our people agenda seriously and focus on what truly matters: DEI, work-life balance, development, authenticity, engagement, collaboration, well-being, rewards and recognition, volunteering... and the list goes on. Experian’s strong people-first approach has been recognized with awards such as Great Place To Work™ in 24 countries, FORTUNE Best Companies to Work For, and Glassdoor Best Places to Work (4.4 stars globally), to name a few. Check out Experian Life on social media or our careers site to learn why. Experian is proud to be an equal opportunity employer and positive action employer. Innovation is a fundamental part of Experian’s DNA and practices, and the diversity of our workforce drives our success. Everyone can succeed at Experian and bring their whole self regardless of gender, ethnicity, religion, color, sexual orientation, physical ability, or age. If you have a disability or special need requiring accommodations, please let us know as early as possible. Experian Careers \- Creating a better tomorrow together Find out what its like to work for Experian by clicking here