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Analytics Engineer Specialist (Finance)

A fintech company delivering payment experiences for Brazilian consumers and small businesses, serving over 10 million users and processing more than USD 4 billion annually.
Data
Senior Software Engineer
Remote
Finance

Job Description

RecargaPay, a leading Brazilian fintech company, is seeking an Analytics Engineer Specialist to join their Finance team. This role combines technical expertise with business acumen, focusing on building and implementing scalable analytical solutions that drive strategic decision-making. The company serves over 10 million users and processes more than USD 4 billion annually, operating as an AI-first, 100% remote team in the dynamic Brazilian financial market.

The ideal candidate will lead the design and implementation of analytical data models, working closely with Product, Engineering, and Business stakeholders. They will be responsible for creating strategic dashboards, ensuring data governance, and promoting data democratization across the organization. The role requires strong technical skills in SQL, PySpark, and data visualization tools, combined with the ability to translate complex business requirements into practical solutions.

RecargaPay offers a competitive benefits package including remote work flexibility, health and dental coverage, life insurance, and professional development opportunities. The company strongly values diversity and inclusion, welcoming professionals from all backgrounds to contribute to their mission of delivering the best payment experience in Brazil.

This position offers an excellent opportunity for a senior analytics professional to make a significant impact in a rapidly growing fintech company, while working with cutting-edge technologies and contributing to the financial inclusion of millions of Brazilians. The role combines technical leadership with business strategy, making it ideal for someone who wants to drive data-driven decision-making at scale.

Last updated 8 days ago

Responsibilities For Analytics Engineer Specialist (Finance)

  • Lead the modeling and architecture of analytical data, focusing on performance, scalability, and best practices
  • Design and oversee development of strategic dashboards and analytical layers
  • Act as a data advisor for key departments, supporting KPI definition and data-driven decision-making
  • Ensure standardization, governance, and version control of analytical solutions
  • Lead initiatives for analytical automation and data democratization
  • Collaborate with Data Engineering, Product, and Technology teams
  • Mentor Analytics professionals
  • Monitor and implement new trends and technologies in data analysis

Requirements For Analytics Engineer Specialist (Finance)

Python
  • Strong experience with SQL and PySpark for analytical development
  • Ability to design and build analytical views and reusable data assets
  • Proficiency in visualization tools (Qlik Sense and Tableau)
  • Hands-on experience with Databricks
  • Familiarity with dbt, Git, and collaborative documentation tools
  • Ability to translate business requirements into analytical solutions
  • Lead methodological definitions for KPIs and metric standardization
  • Design cross-domain analytical solutions
  • Experience in data governance and architecture

Benefits For Analytics Engineer Specialist (Finance)

Medical Insurance
Dental Insurance
  • Competitive and market-aligned salary
  • Remote work
  • Home office allowance
  • Health and dental plans with no co-pay
  • Life insurance
  • Flexible meal allowance
  • TotalPass membership
  • Spanish or Portuguese classes

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