Analytics Engineer Specialist (Business)
Job Description
RecargaPay is a leading Brazilian fintech company on a mission to revolutionize payment experiences for both consumers and small businesses. As an Analytics Engineer Specialist, you'll join a profitable, AI-first, 100% remote team that processes over $4 billion annually and serves more than 10 million users. The role combines technical expertise in data engineering with business analytics, requiring proficiency in SQL, Python, and various data visualization tools. You'll lead the development of analytical models, create strategic dashboards, and work closely with multiple departments to drive data-informed decisions. The position offers an opportunity to impact millions of Brazilians while working with cutting-edge analytics tools and cloud technologies. The company values autonomy, ownership, and action-oriented thinking, making it ideal for those passionate about using data to solve real-world problems. Benefits include competitive salary, comprehensive healthcare, remote work flexibility, and professional development opportunities. RecargaPay emphasizes diversity and inclusion, welcoming professionals from all backgrounds to contribute to their innovative financial ecosystem.
Responsibilities For Analytics Engineer Specialist (Business)
- Contribute to the development of business KPIs and analyze product and user behavior trends
- Lead the design and evolution of scalable analytical data models and architecture
- Develop strategic dashboards and analytical layers for decision-making
- Act as a data partner to key departments, helping define KPIs
- Ensure governance, standardization, and integration of analytics solutions
- Promote data democratization through self-service tools
- Collaborate with Data Engineering, Product, and Tech teams
- Mentor the Analytics team
- Stay on top of analytics trends and tools
Requirements For Analytics Engineer Specialist (Business)
- Deep expertise in SQL, Python, and visualization tools
- Solid experience in data modeling
- Ability to work with analytics engineering tools such as dbt, Databricks, PySpark, or BigQuery
- Experience in cloud data environments (AWS, GCP, Azure)
- Strong ability to structure and conduct exploratory analyses
- Previous experience with credit or loan products is essential
Benefits For Analytics Engineer Specialist (Business)
- 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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