Data Analyst

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability
• Familiarity with big data tools (Spark, Airflow) and version control using Git
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development
• Deep understanding of statistics, hypothesis testing, and data mining
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment
• Excellent communication and storytelling skills, translating data insights into business value
• You speak fluently Portuguese and English
• Applicants must be legally authorized to work in Brazil

We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paolo