Full-Time Senior Business Intelligence Engineer

Why should you join dLocal? dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others.

What’s the opportunity? We are looking for an Analytics Engineer to join our Business Intelligence team, with a strong focus on data pipelines, predictive analytics and dashboarding. The ideal candidate will join a team that takes full responsibility for designing, developing and maintaining the Business Intelligence and Advanced Analytics platform: from designing ETLs 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 in order 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), with ability to translate data into actionable insights and compelling stories.
• 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 is the last date for applying to the job?

Which countries are accepted for this remote job?