Senior Business Intelligence Engineer

pipelines, predictive analytics and dashboarding. The ideal candidate will join a team that designs, develops and maintains the BI and Advanced Analytics platform: from ETL design and scalable data models to applying advanced statistical and machine learning methods, and building interactive dashboards that drive decision-making across the company. What will I be doing? * Implement and maintain data pipelines, ensuring data quality, consistency and scalability across the BI and Advanced Analytics platforms * Detect and correct errors in our BI Platform and processes to guarantee reliability * Translate business requirements into predictive models, dashboards, simulations, and analytical frameworks * Design and implement forecasting solutions (time series, ML-based predictors) to anticipate trends in payment volumes, revenues, and customer behavior * Develop and deploy machine learning models into production pipelines * Hands-on analysis, design and development of interactive

dashboards and data visualizations that combine descriptive, diagnostic, and predictive insights * Build automated reporting and alerting solutions, integrating predictive and real-time metrics * Ensure timeliness, resilience, availability and accessibility of data * Maintain and extend documentation of BI & ML architecture, processes, and procedures * Stay up-to-date with industry standards, forecasting techniques, visualization best practices, and ML frameworks * Contribute to the definition of standards and best practices for data science, analytics engineering, and dashboarding * Work closely with Data Engineers, Analysts, and Product teams to deliver robust predictive and visualization solutions What skills do I need? * Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or related field * 5+ years of experience in Analytics Engineering / Data Science * Strong expertise in SQL (Redshift, PostgreSQL, MySQL) * Solid knowledge of data modeling, ETL processes, and cloud data platforms (AWS / GCP: EMR, Lambda, EC2, S3, Athena, Redshift) * Experience with forecasting techniques (ARIMA, Prophet, exponential smoothing, machine learning regressors, deep learning models) * Proficiency in Python (Pandas, Scikit-learn, Statsmodels, PyTorch/TensorFlow is a plus) * Familiarity with Spark for large-scale data processing * Experience with Airflow, DBT, DataHub, Github * Strong understanding of statistical modeling, feature engineering, and predictive analytics * Proven experience building dashboards and data visualizations (Looker, Power BI, Tableau or similar) * Analytical and problem-solving skills with a holistic approach to business and data * Excellent written and spoken English * Ability to translate complex user requirements into technical, predictive, and visualization solutions * Curious mindset, ability to learn new technologies quickly * Ability to work independently as well as in cross-functional teams What do we offer? * Remote work: work from anywhere or one of our offices around the globe * Flexibility: flexible schedules driven by performance * Fintech industry: dynamic environment with opportunities to build and boost creativity * Referral bonus program: refer someone ideal for a role and get rewarded * Learning & development: Premium Coursera subscription * Language classes: free English, Spanish, or Portuguese classes * Social budget: monthly budget to engage with your team * dLocal Houses: support for arranging a week of coworking with your team abroad * For Montevideo applicants to non-IT roles, 55% monthly attendance to the office is required What happens after you apply? our Talent Acquisition team is invested in creating the best candidate experience possible. We will review your CV and keep you posted by email at every step of the process. You can also check out