Data Analyst

Description

Founded 16 years ago by Stanford alumni, Bravo has become a leading player in the financial landscape, offering credit solutions to over-leveraged consumers facing financial difficulties. We operate in six diverse countries: Mexico, Colombia, Spain, Italy, Portugal, and Brazil. Our journey is defined by an unwavering commitment to empowering people to repay their debts and regain financial freedom. Our dedication to excellence and hard work has driven sustained double-digit growth over the past decade, positioning us as industry leaders. As of 2023, we manage over €600 million in customer debt, providing individuals with the guidance they need to repay their debts effectively. We continue setting ambitious goals for the future while aiming to grow more than threefold over the next five years—expanding our current markets and entering new geographies. Bravo is proud to have secured support from award-winning investors who share our belief in debt technology solutions. These include GPF Capital (https://gpf\-partners.com), Cercano Capital (the investment arm of the Paul Allen Estate), and Achieve (https://www.achieve.com). **Who are we looking for?** We seek people passionate about data, eager for new challenges, and who enjoy solving complex business problems. We look for curious, organized, detail-oriented, proactive individuals with high frustration tolerance—capable of communicating effectively both with technical teams and senior management. * Education: Bachelor’s degree in Mathematics, Statistics, Data Science, Engineering (Industrial, Computer, Telecommunications), Economics, or related fields with a strong quantitative foundation. * Key tools: Proficiency in SQL and programming fundamentals in Python or R. Fluency in visualization tools (Power BI, Tableau, or similar) and advanced Excel usage. * Mindset: Genuine interest in learning statistical modeling, Machine Learning, and workflow automation. Prior experience is valued but not required. What matters most to us is your analytical curiosity—and demonstrating what you can do (personal projects, GitHub, Kaggle competitions, or your final-year thesis)! **What will you do?** * Data extraction and cleaning (ETL): You will collect, structure, and validate the quality of commercial data from various sources to prepare it for analysis. * Exploratory analysis: You will uncover patterns, correlations, and hidden trends in the data to answer strategic business questions (e.g., Why does a product perform better in one region than another?). * Data storytelling: You will translate complex models and analyses into clear, visual, and actionable insights for management and leadership. * BI ecosystem: You will design, automate, and maintain live control dashboards for the department, ensuring data is single-sourced and reliable. * Analytical innovation: You will propose improvements to reporting processes and launch small proof-of-concept initiatives in advanced analytics (e.g., customer segmentation models or sales forecasting). **What do we offer?** * Specialized training from day one to help you learn deeply and grow professionally. * A positive, dynamic, and international work environment. * Flexible working hours Monday–Friday, 09:00/10:00–18:00/19:00. * Access to benefits such as WellHub, Payflow, and discounts with our partner companies. Apply now! We’re excited to receive your application and discover how you can grow alongside us!