Senior Data Analyst

职位要求 / 描述

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 individual 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. Being part of the Data Team, you’ll support our leadership team and work closely with stakeholders to help up-level the organization. What you’ll do - Build dashboards, metrics, and data products that enable self-serve analytics, providing clear and trusted insights that drive operational and product decisions. - Establish a proactive insights cadence, surfacing opportunities, risks, and trends before stakeholders have to ask. - Partner with Product, Engineering, and Operations to define, measure, and improve the metrics that matter most. - Own data quality and metric governance, ensuring key business questions can be answered accurately and reliably. - Design and analyze experiments, helping teams evaluate product changes and make data-informed decisions. - Perform user segmentation, cohort analysis, and behavioral analysis to uncover opportunities for growth, engagement, and retention. - Translate ambiguous business questions into analytical frameworks, actionable recommendations, and measurable outcomes. You are likely to succeed if you have: - A structured approach to problem solving and the ability to turn ambiguous questions into clear analyses, actionable insights, and recommendations. - A strong bias for action and comfort owning end-to-end analytical work, from problem framing and data extraction to insight generation and execution support. - Excellent communication skills and experience acting as a trusted thought partner to both technical and non-technical stakeholders. - Advanced SQL expertise, including complex joins, query optimization, data modeling concepts, and working with imperfect or evolving datasets. - Strong experience with BI and analytics tools such as Metabase, Mode, Lightdash, Hex, Looker, or similar platforms. - Experience designing intuitive dashboards and self-service reporting solutions. - Familiarity with experimentation frameworks, A/B testing, cohort analysis, and performance measurement. - 3–5+ years of experience in data analytics, product analytics, business analytics, data science, consulting, or related analytical roles. Bonus attributes: - Experience in fintech, payments, card programs, banking infrastructure, or related domains. - Proficiency in Python for analytics and automation (pandas, notebooks, scripting, lightweight pipelines). - Experien

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