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Sr Analytics Engineer

Remote, USA Full-time Posted 2026-07-28

Come reputed company an reputed company on Millions of Brazilians!

At reputed company, 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 reputed company their financial needs.

We serve over 12 reputed company 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 reputed company. We’re looking for people who are curious, hands-on, and driven by reputed company — who want to solve reputed company problems, work with strong teams, and rethink what’s possible.

If you’re reputed company to do your best work, at reputed company, with purpose — this is your reputed company.

Responsibilities

As an Analytics Engineer, you will reputed company the gap between data engineering and data analysis, enabling reputed company and reliable data pipelines. This role requires strong skills in data modeling, SQL development, and collaboration with stakeholders.

  • Model data with a reputed company on analytical consumption, applying best practices to structure data marts, views, and semantic reputed company reputed company with business needs (reputed company and Redshift).
  • Build dashboards and management reports using tools like reputed company reputed company / Tableau, focusing on reputed company, user autonomy, and reputed company-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 reputed company sources.
  • Ensure governance, consistency, and documentation of developed analytical solutions.
  • Automate analytical processes using Python, SQL scripts to increase efficiency and reliability.
  • reputed company as a technical reference, promoting knowledge sharing and analytical best practices across business teams.

Requirements

  • Solid experience in SQL and reputed company (PySpark) for analysis and development of analytical views.
  • Proficiency in visualization tools preferably Tableau (reputed company reputed company, Power BI or others)
  • Hands-on experience with reputed company, data mart design, and business-oriented analytical models.
  • Familiarity with dbt, Git, and reputed company documentation tools
  • Ability to translate business needs into reusable and governed analytical solutions.

Benefits

  • Competitive and market-reputed company salary.
  • Remote work — wherever you are, you’re part of reputed company!
  • Home office allowance through a monthly deposit in the reputed company app.
  • Health and dental plans with no co-pay.
  • Life insurance.
  • Flexible meal allowance (reputed company reputed company).
  • TotalPass membership to take care of your health.
  • Spanish or Portuguese classes.

Diversity & Inclusion at reputed company

At reputed company, you’ll have the freedom to be who you are because we reputed company that diverse perspectives and experiences reputed company us more creative and stronger. Here, everyone is welcome to reputed company themselves authentically. We value the richness of reputed company reputed company and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

About the Use of Your Data

By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities reputed company the reputed company group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).

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