Are you passionate about data and want your analyses to have a real impact on customer experience? Are you looking to explore data, uncover patterns, and propose improvements that make a difference? Then this opportunity is for you. **We'd love to meet you!** As a **Data Analyst**, you will join the Customer Success team, where you'll transform data into valuable information for decision-making. Your work will directly contribute to improving customer satisfaction and retention, supporting teams in optimizing processes and results. **Your main responsibilities will be:** * Extract, analyze, and process data related to Contact Center operations and customer experience. * Develop reports and dashboards in MicroStrategy and other visualization tools. * Identify trends, patterns, and improvement opportunities in KPIs and key processes. * Collaborate with different internal teams to define metrics and ensure data quality. * Present clear and actionable insights to non-technical audiences to support decision-making. **We are looking for someone who has:** * A university degree in Engineering, Mathematics, Statistics, Computer Science, Economics, or a related field. * Initial experience (1–2 years) or internships in data analysis or similar environments. * Basic knowledge of SQL (queries and data extraction). * Familiarity with Python for data manipulation and analysis. * Experience with visualization tools (MicroStrategy, Power BI, Tableau, or similar). If you are an analytical, proactive, results-oriented person, skilled in teamwork, and eager to learn, don't hesitate to apply. **Your future as a Data Analyst starts here.** **What we offer:** * Continuous training in business and advanced data analysis techniques. * Professional growth. * A dynamic and challenging environment. * Work-life balance policies and remote work options. * Flexible compensation plan: Health Insurance, Childcare, and Training at special prices. * Access to the annual training catalog and Study Assistance Program for external courses. * Free stays and employee discounts. *\#LI\-DNP \#LI\-DNI*