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Analytics Engineer Specialist

A fintech company delivering payment experiences for Brazilian consumers and small businesses, processing over $4B annually and serving 10M+ users.
Data
Senior Software Engineer
Remote
Finance · AI

Description For Analytics Engineer Specialist

RecargaPay, a leading Brazilian fintech company, is seeking an Analytics Engineer Specialist to join their 100% remote team. The company processes over $4 billion annually and serves more than 10 million users, operating profitably since 2022. This role offers an opportunity to make a significant impact on Brazil's financial ecosystem by leading the design and implementation of scalable analytical data models.

As an Analytics Engineer Specialist, you'll be at the forefront of data-driven decision-making, working with cutting-edge technologies like Databricks, PySpark, and various visualization tools. You'll collaborate with cross-functional teams to build and maintain the analytical infrastructure that powers strategic decisions across the organization.

The ideal candidate will combine strong technical expertise in SQL, PySpark, and data modeling with the ability to translate complex business requirements into practical solutions. You'll have the opportunity to mentor other analytics professionals while contributing to the company's data democratization initiatives.

RecargaPay offers a comprehensive benefits package including competitive salary, remote work flexibility, health and dental coverage, and professional development opportunities. The company strongly values diversity and inclusion, welcoming professionals from all backgrounds to contribute their unique perspectives.

This role is perfect for someone who wants to work at the intersection of finance and technology, helping to shape the future of payments in Brazil while being part of a profitable, growing company that prioritizes innovation and impact.

Last updated a month ago

Responsibilities For Analytics Engineer Specialist

  • 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

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 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
  • Represent Analytics Engineering in data governance
  • Collaborate with other Analytics Engineers
  • Contribute to strategic decisions regarding analytical platform evolution

Benefits For Analytics Engineer Specialist

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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