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Analytics Engineer Specialist (Data & Analytics)

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 · AI

Description For Analytics Engineer Specialist (Data & Analytics)

RecargaPay is a leading Brazilian fintech company focused on delivering the best payment experience for both consumers and small businesses. As an Analytics Engineer Specialist, you'll join a 100% remote, AI-first team that serves over 10 million users and processes more than USD 4 billion annually. The role combines technical expertise in data engineering with business analytics, requiring proficiency in SQL, Databricks, and various data visualization tools. You'll lead methodological definitions for KPIs, design scalable analytical solutions, and contribute to data governance initiatives. The company values autonomy, ownership, and action-oriented thinking, making it an ideal environment for those passionate about solving real problems at scale. RecargaPay offers comprehensive benefits including remote work flexibility, health coverage, and professional development opportunities. The company strongly emphasizes diversity and inclusion, welcoming professionals from all backgrounds to contribute to their mission of transforming Brazil's financial landscape.

Last updated 4 days ago

Responsibilities For Analytics Engineer Specialist (Data & Analytics)

  • Collaborate with other Analytics Engineers, sharing frameworks, best practices, and reusable components
  • Lead methodological definitions for KPIs, metric standardization, and modeling conventions
  • Design cross-domain analytical solutions that are interoperable and scalable
  • Contribute to strategic decisions regarding the evolution of the analytical platform
  • Represent Analytics Engineering in data governance, data quality, and data architecture committees

Requirements For Analytics Engineer Specialist (Data & Analytics)

Python
  • Strong experience with SQL for analytical development and scalable data processing
  • Hands-on experience with Databricks and familiarity with PySpark
  • Proficiency in data visualization tools, especially Qlik Sense and Tableau
  • Experience managing Qlik Sense On-Premises environments
  • Knowledge of Qlik Sense mashups, ODAG, and extensions
  • Ability to design and build analytical dashboards
  • Familiarity with GitHub and collaborative documentation tools
  • Hands-on experience with Python automation
  • Knowledge of AI agents is a strong plus

Benefits For Analytics Engineer Specialist (Data & Analytics)

Medical Insurance
Dental Insurance
Vision 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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