Senior Data Analyst

Created in 2011, Zurich Santander Insurance America is a joint venture between the Zurich and Banco Santander groups, two of the largest conglomerates worldwide in the insurance and financial sectors. With one of the largest insurance portfolios on the market, we are headquartered in Spain and commercialize our products through the Banco Santander sales channel in Brazil, Mexico, Chile, Argentina, and Uruguay. At Zurich Santander, we work every day to make you the protagonist of our story and to provide innovative solutions that meet the needs of our customers. As a Senior Data Analyst, you will be responsible for analyzing large datasets to identify trends and patterns, developing predictive models, and creating data visualizations to support business decisions. You will also collaborate with cross-functional teams to develop and implement data-driven strategies, and provide insights that drive business growth. Responsibilities: • Analyze large datasets using statistical techniques and machine learning algorithms to identify trends and patterns; • Develop predictive models using regression analysis, decision trees, and clustering algorithms; • Create data visualizations using Tableau, Power BI, or other tools to communicate insights to stakeholders; • Collaborate with cross-functional teams to develop and implement data-driven strategies; • Provide insights that drive business growth by identifying opportunities for process improvement and cost reduction; • Develop and maintain databases and data warehouses to support business intelligence initiatives; • Stay up-to-date with the latest trends and technologies in data analysis and visualization. Requirements: • Bachelor's degree in Data Science, Statistics, or related field; • 5+ years of experience in data analysis and visualization; • Strong analytical and problem-solving skills; • Proficiency in programming languages such as Python, R, or SQL; • Experience with data visualization tools such as Tableau, Power BI, or D3.js; • Knowledge of machine learning algorithms and statistical techniques; • Excellent communication and collaboration skills. Benefits: • Competitive salary and benefits package; • Opportunities for professional growth and development; • Collaborative and dynamic work environment; • Flexible working hours and remote work options; • Access to cutting-edge technologies and tools; • Recognition and rewards for outstanding performance.