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 that are tailored to their needs. We are reimagining the financial infrastructure of Latin America - where SMBs financial needs are satisfied without ever having to go to a bank.

R2 enables platforms in Latin America to embed financial services that SMBs can then leverage (starting with revenue-based financing and buy now pay later for business customers). We are a tight knit team coming from organizations such as Google, Amazon, Nubank, Uber, Capital One, Mercado Libre, Globant, J.P. Morgan, and Ualá. We are backed by world-class investors such as Gradient Ventures (Google’s AI-focused fund), General Catalyst, Hi Ventures, Y Combinator, Femsa Ventures, Endeavor Catalyst, among others.

We are a data-first company. Data is the core of our product and the lifeblood for all of our decision-making. Data Analysts sit at the helm of R2 by analyzing in a descriptive, predictive, and prescriptive massive amounts of data, unlocking financial opportunities to thousands of small business merchants across Latin America.

What you’ll work on:

• Build data structuring, cleaning, and enriching processes from a wide variety of data sources.
• Develop descriptive and insights-driven analyses 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.
• Stating hypotheses and testing them using rigorous statistical tests.
• Execute operational & data-intensive workflows to deliver high-quality results that help hundreds of thousands of small businesses in Latin America have access to capital.
• Collaborate with cross-functional teams to define key metrics, gather data requirements, and ensure accurate and relevant data presentations.

Who you are:

• You have at least 3 years of experience with data analysis in a practical setting.
• You have a good understanding of fintech products, and risk management to interpret business data effectively.
• You have strong programming abilities (structured, object-oriented, and/or event-oriented programming) and are comfortable programming in Python/R and SQL (with a focus on Snowflake, preferably).
• You have strong statistical and mathematical knowledge, including linear algebra, calculus, and statistical inference, among other topics.
• You are comfortable consuming data through APIs, SFTP, or straight-up CSVs.
• 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.
• You present analytical processes and results by telling data-driven stories that have a high impact on the business and using tools like Tableau or Looker/Looker Studio..
• You have notable stakeholder management experience, keeping everyone up-to-date with key findings and explaining in a non-technical way results, methodologies and processes for data-driven decision making.
• You have experience working with engineering teams to integrate testing platforms and automate data pipelines for experiment tracking.

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

• Have built regression and/or classification models in the past for solving financial problems.
• Have worked with unsupervised learning techniques, such as clustering and/or dimensionality reduction.
• Have designed and executed A/B tests, multivariate tests, and other controlled experiments to assess the effectiveness of changes in product features, user experience, and marketing initiatives.
• Have partnered with cross-functional teams to define key success metrics, ensuring alignment with business objectives.