About the role
About the Company Rain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you’re curious, bold, and excited to help shape a borderless financial future, we’d love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into
the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About
the Role Rain is building a modern data team from the ground up. This role is for a high agency Data Scientist who ensures data is useful and adopted, not just available. You’ll own the tools and data that all of our leaders and teams rely on: dashboards, weekly insight loops, and deep dives that turn messy signals (logs, events, operational workflows, partner escalations) into clear priorities and actions. You’ll also be a key driver of metric correctness and adoption: reconciling definitions, running acceptance tests, and closing instrumentation gaps so teams can self-serve. Reporting to the Head of Business Operations, you’ll support our leadership team and work closely with Product and Customer teams to help level-up the organization. What you’ll do Build dashboards and data sources that enable self-serve – clear, trusted views that drive operating cadence and day-to-day decisions. Insights discovery – you’ll establish a rhythm that consistently surfaces what matters to the people who need it most. Own metric quality with stakeholders – you’ll partner with Product and Engineering to ensure we can answer the most important questions and ensure reliability. You are likely to succeed if you have: A structured approach to problem solving and the ability to turn fuzzy questions into crisp analysis and clear actions. A strong bias for action and comfort owning end-to-end analyses, from problem framing to data pulls, insights, recommendations, and follow-through. Excellent communication skills and experience acting as a cross-functional thought partner to both technical and non-technical audiences Advanced SQL skills, including comfort with complex joins, edge cases, and messy schemas Advanced experience with BI tools (Metabase, Mode, Lightdash, Hex, or similar) and designing dashboards for self-serve analytics. 5–8+ years of experience in data analytics, business analytics, data science, product analytics, consulting, or related roles.
