Senior Business Intelligence Engineer

OverviewWe are looking for an Analytics Engineer to join our Business Intelligence team, with a strong focus on data pipelines, predictive analytics and dashboarding.You will join a team that takes full responsibility for designing, developing and maintaining the BI 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's the opportunity?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.Being a part of dLocal means working with ****+ teammates from 30+ different nationalities and developing an international career that impacts millions of people's daily lives.We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.ResponsibilitiesImplement and maintain data pipelines, ensuring data quality, consistency and scalability across the BI and Advanced Analytics platformsDetect and correct errors in our BI Platform and processes to guarantee reliabilityTranslate business requirements into predictive models, dashboards, simulations, and analytical frameworksDesign and implement forecasting solutions (time series, ML-based predictors) to anticipate trends in payment volumes, revenues, and customer behaviorDevelop and deploy machine learning models into production pipelinesHands-on analysis, design and development of interactive dashboards and data visualizations that combine descriptive, diagnostic, and predictive insightsBuild automated reporting and alerting solutions, integrating predictive and real-time metricsEnsure timeliness, resilience, availability and accessibility of dataMaintain and extend documentation of BI & ML architecture, processes, and proceduresStay up-to-date with industry standards, forecasting techniques, visualization best practices, and ML frameworksContribute to the definition of standards and best practices for data science, analytics engineering, and dashboardingWork closely with Data Engineers, Analysts, and Product teams to deliver robust predictive and visualization solutionsQualificationsBachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or related field5+ years of experience in Analytics Engineering / Data ScienceStrong 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 processingExperience with Airflow, DBT, DataHub, GithubStrong understanding of statistical modeling, feature engineering, and predictive analyticsProven experience building dashboards and data visualizations (Looker, Power BI, Tableau or similar)Analytical and problem-solving skills with a holistic approach to business and dataExcellent written and spoken EnglishAbility to translate complex user requirements into technical, predictive, and visualization solutionsCurious mindset, ability to learn new technologies quicklyAbility to work independently as well as in cross-functional teamsWhat do we offer?Remote work: work from anywhere or one of our offices around the globeFlexibility: flexible schedules and performance-driven environmentFintech industry: dynamic and evolving environment to build and boost creativityReferral bonus program: refer someone ideal for a role and get rewardedLearning & development: Premium Coursera subscriptionLanguage classes: free English, Spanish, or Portuguese classesSocial budget: monthly budget to engage with your teamdLocal Houses: option to cowork with your team from different locationsFor people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is requiredWhat happens after you apply?Our Talent Acquisition team is invested in creating the best candidate experience possible, so you will definitely hear from us.We will review your CV and keep you posted by email at every step of the processYou can also check out our webpage, LinkedIn, Instagram, and YouTube for more about dLocal.#J-*****-Ljbffr