Analytics Engineer Specialist

Summary

Join RecargaPay's Data team as an Analytics Engineer Specialist and lead the design and implementation of scalable analytical data models. Collaborate with cross-functional teams to ensure data infrastructure drives business impact and innovation. Model and architect analytical data, design dashboards, and act as a data advisor for key departments. Standardize analytical solutions, lead automation initiatives, and collaborate with engineering and product teams. Mentor analytics professionals and monitor new trends in data analysis. RecargaPay offers a competitive salary, remote work, and various benefits.

Requirements

• Strong experience with SQL and PySpark for analytical development and scalable data processing
• Proven ability to design and build analytical views and reusable data assets, aligned with business logic and performance standards
• Proficiency in visualization tools, preferably Qlik Sense and Tableau, or equivalent platforms (e.g., Power BI, Looker)
• Hands-on experience with Databricks, including the development of business-oriented data marts and analytical models
• Familiarity with dbt, Git, and collaborative documentation tools (e.g., Confluence, Notion, Markdown-based wikis)
• Ability to translate business requirements into governed, maintainable, and scalable analytical solutions
• Lead methodological definitions for KPIs, metric standardization, and modeling conventions across the organization
• Design cross-domain analytical solutions that are interoperable and scalable beyond individual products or squads
• Represent the Analytics Engineering discipline in data governance, data quality, and data architecture committees, contributing to enterprise-level guidelines
• Collaborate with other Analytics Engineers, actively sharing frameworks, best practices, and reusable components within the analytics chapter
• Contribute to strategic decisions regarding the evolution of the analytical platform, including naming conventions, data catalog structure, semantic layers, and observability tooling

Responsibilities

• Lead the modeling and architecture of analytical data, focusing on performance, scalability, and adherence to market best practices
• Design and oversee the development of strategic dashboards and analytical layers that serve multiple areas and levels of the organization
• Act as a data advisor for key departments, supporting the definition of KPIs, advanced analyses, and data-driven decision-making frameworks
• Ensure standardization, governance, and version control of implemented analytical solutions, integrating them with existing data pipelines
• Lead initiatives for analytical automation and data democratization, promoting the use of self-service tools and internal training
• Collaborate with Data Engineering, Product, and Technology teams to build solutions that connect data to digital products, processes, and business strategies
• Mentor Analytics professionals, fostering technical development, methodological consistency, and data storytelling best practices
• Monitor and implement new trends and technologies in data analysis, contributing to the continuous evolution of the field

Benefits

• Competitive and market-aligned salary
• Remote work — wherever you are, you’re part of the team!
• Home office allowance through a monthly deposit in the RecargaPay app
• Health and dental plans with no co-pay
• Life insurance
• Flexible meal allowance (via Flash)
• TotalPass membership to take care of your health
• Spanish or Portuguese classes