In the Analytics Consultant role, you will combine your expertise in data analysis, modeling, and business acumen to understand the needs of internal and external clients, designing high-impact analytical solutions. You will also collaborate on implementing these solutions, tackling complex challenges across the credit lifecycle and risk prevention, while developing value propositions that enhance decision-making. ### **What will you do?** * Collaborate closely with business units such as Consulting, Products, IT, and directly with internal and external clients to manage requirements, design, develop, and present analytical solutions and insights. * Design innovative analytical solutions (including conceptualization of models, dashboards, workflows, and attributes) for financial sector clients and others, using tools such as Python, SQL, and Cloud technologies. * Actively participate in the full lifecycle of analytical solutions—from ideation and conceptual design through attribute development, implementation support, and establishment of performance metrics and continuous monitoring. * Analyze, interpret, and manipulate large structured and unstructured datasets from diverse sources to extract valuable insights and inform solution design. * Research and apply advanced analytical and data visualization techniques to transform complex data into clear, actionable narratives for diverse audiences. * Stay current on market trends, emerging technologies, analytical methodologies, and industry best practices in credit information and advanced analytics. * Produce technical and functional documentation for designed solutions, as well as presentation materials for clients and stakeholders. ### **What experience and knowledge do you need?** * University degree in fields such as Computer Engineering, Statistics, Mathematics, Actuarial Science, Economics, Business Administration with an analytics focus, or related disciplines. * +4 years of experience in data analytics consulting roles, translating business needs into technical requirements. * +2 years of hands-on experience conducting analyses, manipulating data, and/or building statistical or machine learning models. * +2 years of practical experience working with Python (Pandas, NumPy, Scikit-learn) and SQL (preferably BigQuery or other cloud-based databases). * +2 years of experience with Cloud tools and platforms (preferably GCP or AWS). * Strong skills in manipulating, cleaning, transforming, and analyzing large volumes of data. * Familiarity with data visualization tools such as Tableau, Power BI, Looker, or Python libraries like Matplotlib/Seaborn. ### **What could set you apart?** * Expertise in understanding the credit lifecycle and common industry challenges (origination, behavior, collections, fraud). * Advanced English proficiency. * Excellent communication skills for delivering effective presentations to both technical and business audiences. * Strong teamwork capabilities and ability to thrive in multidisciplinary and multicultural environments, collaborating with teams across multiple countries in the region.