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Sr Analytics Engineer at RecargaPay. Come Make an Impact on Millions of Brazilians!. At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.. We serve over 12 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.. Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.. We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible.. If you’re ready to do your best work, at scale, with purpose — this is your place.. Responsibilities. As an Analytics Engineer, you will bridge the gap between data engineering and data analysis, enabling scalable and reliable data pipelines. This role requires strong skills in data modeling, SQL development, and collaboration with stakeholders.. Model data with a focus on analytical consumption, applying best practices to structure data marts, views, and semantic layers aligned with business needs (Databricks and Redshift).. Build dashboards and management reports using tools like Qlik Sense / Tableau, focusing on clarity, user autonomy, and action-oriented insights.. Translate business needs into data solutions, working closely with product leadership.. Create and maintain SQL and Python scripts for data analysis, automation, and consolidation from various internal and external sources.. Ensure governance, consistency, and documentation of developed analytical solutions.. Automate analytical processes using Python, SQL scripts to increase efficiency and reliability.. Act as a technical reference, promoting knowledge sharing and analytical best practices across business teams.. Solid experience in SQL and Spark (PySpark) for analysis and development of analytical views.. Proficiency in visualization tools preferably Tableau (Qlik Sense, Power BI or others). Hands-on experience with Databricks, data mart design, and business-oriented analytical models.. Familiarity with dbt, Git, and collaborative documentation tools. Ability to translate business needs into reusable and governed analytical solutions.. Company Location: Brazil.