Data Analyst Intern (LATAM)

Who we are

At R2, we believe that small and medium businesses are the productive engine of society. Small and medium businesses (SMBs) make up over 90% of companies in Latin America, yet they face a trillion-dollar credit gap. Our mission is to unlock SMBs’ potential by providing financial solutions tailored to their needs. We are reimagining the financial infrastructure of Latin America, where SMBs’ financial needs are met without ever having to go to a bank.

R2 enables platforms across Latin America to embed financial services that SMBs can leverage, starting with revenue-based financing. We are a high-performing, close-knit team with talent from organizations such as Google, Amazon, Nubank, Uber, Capital One, Mercado Libre, Globant, and J.P. Morgan. 

We are entering a new phase of growth following a strategic investment from Ant International, focused on rapidly expanding our partner footprint, strengthening our credit and underwriting capabilities, and scaling operations across multiple markets. As part of this growth journey, eligible team members have the opportunity to participate in R2’s Phantom Share Program, a performance-based incentive designed to align our team with the company’s long-term success and value creation. We believe in building a culture of ownership, where those who help create value share meaningfully in it.

We are a data-first company. Data is the core of our product and the lifeblood for all of our decision-making. Data Interns sit at the helm of R2 by analyzing in a descriptive, predictive, and prescriptive way the data patterns, enabling new financial opportunities to thousands of companies across Latin America.

What you’ll work on

• Building data structuring, cleaning, and enriching processes from a wide variety of data sources.
• Making descriptive analysis of merchant-related and transactional-related data, generating high-impact insights for business decision-making.
  
• Process transactional data with various approaches, including feature-based and time-series, approaches.
  
• Executing data science operational procedures to deliver high-quality results that help thousands of businesses in Latin America have access to capital.

Who you are

• You have at least one year of experience with data analysis in a theoretical and practical way.
• You have strong programming abilities (structured, object-oriented, and/or event-oriented programming) and are comfortable programming in Python/R and SQL.
• You have a data-oriented mindset: you care about getting to the bottom of how to make decisions based on data.
• You understand every problem as an opportunity for analyzing and learning.

To be considered a strong candidate, you (besides the former points)

• Have experience with SQL procedures, and orchestrators such as Airflow.
• Are comfortable consuming data through APIs, SFTP, or straight-up CSVs.