Sr Data Analyst

Join to apply for the Sr Data Analyst role at R2 1 day ago Be among the first 25 applicants Join to apply for the Sr Data Analyst role at R2 Get AI-powered advice on this job and more exclusive features. 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. 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. Seniority levelSeniority levelMid-Senior level Employment typeEmployment typeFull-time Job functionJob functionInformation Technology IndustriesEmbedded Software Products Referrals increase your chances of interviewing at R2 by 2x Sign in to set job alerts for “Senior Data Analyst” roles.We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr