Responsibilities
- Explore and Analyze Data: Investigate user behavior, performance trends, and key metrics to uncover what’s driving changes.
- Identify Anomalies and Opportunities: Spot unusual patterns or spikes and help the team understand their root causes.
- Reporting & Automation: Build and maintain dashboards and automated reports that make data accessible and reliable.
- Decision Support: Translate analytical findings into clear recommendations for product and operational improvements.
- Metric Design: Help define and refine the KPIs that matter most for our business and customer experience.
- Documentation: Keep analyses, methodologies, and assumptions well-documented and reproducible.
- Modeling & Experimentation: Contribute to basic modeling tasks and structured experiments under guidance from senior analysts or data scientists.
- Continuous Learning: Expand your analytical toolkit and develop product sense through real-world problem solving and mentorship.
Requirements
- 2-5 years of experience in analytics, data, or operations (internships count)
- Strong SQL skills for querying and exploring datasets
- Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis
- Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow)
- Analytical curiosity and a structured approach to problem solving
- Good communication skills - able to explain insights clearly and visually
- Initiative to automate repetitive tasks and improve reporting workflows
- Interest in fintech, data-driven decision-making, and machine learning concepts
- Ambitious, high-potential mindset with evidence of strong achievement, fast progression, or outstanding academic/professional performance.
Nice to Have
- STEM degree preferred (e.g., Mathematics, Computer Science, Engineering, Physics, Economics, or related fields)
- Experience with BI or visualization tools (Metabase, Looker, etc.)
- Familiarity with dbt for building and maintaining data models, writing tests, and managing transformations
- Exposure to fraud, financial, or product analytics (any domain welcome)
- Spanish/Portuguese proficiency for internal and external communications.
Benefits
- Competitive salary and benefits
- Stock options, so you own part of what you build
- Discretionary performance bonus
- The latest tools and technology
- A world-class team that will challenge and grow your skills
- The opportunity to help build the best fintech app in Latin America
Work Arrangement
On-site — Office location not specified, but 3-4 days a week in-office required
Additional Information
- Office Policy: 3-4 days a week in-office
