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Posted 2 months ago
Requirements and responsibilities
About usRelay is a cross-chain payments protocol that provides instant low cost cross-chain bridging, swaps, and transactions. We're the fastest and cheapest way to bridge and transact across chains, serving over 5 million users who have completed 59+ million transactions with $6+ billion in volume across 85+ chains.Our company mission is to make transacting across chains as fast, cheap, and reliable as online payments. We are building the core infrastructure to abstract chains from end user payments, enabling the next billion users to experience the benefits of blockchain without the UX burdens. We are bringing the Relay Network to market through our consumer app (relay.link) and major ecosystem partners, including Opensea, Alchemy, LiFi, Metamask, Coinbase, and more.About the roleWe're looking for an Analytics Engineer to help us make sense of cross-chain data at scale. You'll build the data models and pipelines that power decisions across our organization, from daily metrics to strategic insights.What you'll doBuild the data foundationTransform raw blockchain and production data into clean, reliable datasetsOwn core analytics models across our medallion architecturePartner with data engineering on ingestion pipelinesWork with blockchain dataModel transaction data across dozens of chains (swaps, bridges, fees, capital flows)Integrate pricing feeds and partner data for competitive analysisEnable analysisGather requirements from product, business, and operations teamsDesign and standardize key metricsBuild dashboards and enable self-service analyticsAbout youYou care a lot about data quality and metric consistencyYou know when to ask questions and how to analyze what's actually neededYou proactively find opportunities to explore and use dataYou can translate technical concepts easily for non-technical stakeholdersYou're excited about blockchain and on-chain dataYou're comfortable with ambiguity and good at pivoting when neededSkills and abilitiesYou have 3-5+ years in data analytics rolesYou have very strong SQL and data modeling experienceYou have experience with modern tools (e.g., dbt, Airflow, Dagster, or similar)You're comfortable with large, complex datasets and semi-structured dataWhat we offerCompetitive base salaryEquity packageComprehensive health benefitsUnlimited PTO policy with encouraged minimumRemote-first culture with emphasis on collaboration, communication and flexibility
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