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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 scalable analytical solutions that drive strategic decision-making. The company serves over 10 million users, processes more than USD 4 billion annually, and has been profitable since 2022. As an AI-first, 100% remote organization, they offer a unique opportunity to make an impact on millions of Brazilians' lives through financial technology.

The ideal candidate will lead the design and implementation of data models, collaborate with cross-functional teams, and ensure data infrastructure supports business goals. Key responsibilities include developing strategic dashboards, ensuring data governance, and mentoring other analytics professionals. The role requires expertise in SQL, PySpark, visualization tools, and Databricks, along with strong business acumen.

The position offers comprehensive benefits including competitive salary, remote work flexibility, health and dental coverage, life insurance, and professional development opportunities. RecargaPay values diversity and inclusion, encouraging authentic self-expression and welcoming diverse perspectives. The company's mission is to deliver the best payment experience in Brazil, connecting both banked and unbanked populations in a powerful digital ecosystem.

This role presents an excellent opportunity for a senior analytics professional looking to make a significant impact in the rapidly evolving Brazilian financial market while working with cutting-edge technology and a purpose-driven team.

Last updated 10 days ago

Responsibilities For Analytics Engineer Specialist (Finance)

  • Lead the modeling and architecture of analytical data
  • Design and oversee development of strategic dashboards and analytical layers
  • Act as a data advisor for key departments
  • 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
  • Proven ability to design and build analytical views and reusable data assets
  • Proficiency in visualization tools (Qlik Sense, 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
  • Represent Analytics Engineering in data governance

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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