RecargaPay is hiring an Analytics Engineer Specialist (Finance) to lead the design and implementation of scalable, high-performance analytical data models and solutions that power strategic decision-making across the organization. You will collaborate cross-functionally with Product, Engineering, and Business stakeholders to ensure our data infrastructure drives impact, democratization, and innovation.
What You'll Do
- 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.
- 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.
What We're Looking For
- 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.
Technical Stack
- SQL, PySpark
- Qlik Sense, Tableau, Power BI, Looker
- Databricks, dbt, Git
Team & Environment
Join the Data team. Collaborate with Data Engineering, Product, and Technology teams.
Benefits & Compensation
- Competitive and market-aligned salary.
- Remote work.
- 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.
Work Mode
This role operates on a global work mode.
At RecargaPay, you’ll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.
