1inch - Data & Analytics Lead
Requirements
• 6+ years of experience across data analytics, analytics engineering, or data engineering, with a track record of solving complex product and business problems with data. • Expert-level Dune skills, with advanced SQL proficiency and demonstrated experience building sophisticated on-chain queries, datasets, dashboards, and analyses. • Deep understanding of DeFi and blockchain data, particularly DEXes and DEX aggregators, including swaps, liquidity, routing, transactions, events, traces, and smart-contract interactions. • Strong AI-native way of working, with advanced hands-on experience using Cursor to accelerate analytics and engineering, automate workflows, and build AI-enabled data solutions. • Strong proficiency in Python for data analysis, data processing, automation, and AI-enabled workflows. • Hands-on experience building and operating modern data platforms with ClickHouse and Airflow, including data modeling, pipelines, transformations, data quality, and observability. • Proven ability to turn ambiguous business and product questions into structured hypotheses, robust analyses, and clear, actionable answers. • Strong ownership and communication skills, with the ability to turn recurring business needs into scalable, self-service data and AI capabilities. • Experience working directly within a DEX, DEX aggregator, DeFi protocol, or other data-intensive Web3 product. • Experience working with raw multi-chain blockchain data, including decoding contracts, events, traces, and transactions. • Experience applying statistical methods, experimentation, forecasting, or anomaly detection to product and business questions. • A strong public track record in the DeFi data ecosystem, such as high-quality Dune dashboards, research, open-source contributions, or community analytics.
Responsibilities
• Shape and build a self-service data and AI platform that enables teams to ask better questions, find better answers, and make better decisions. • Create intuitive ways for teams to explore trusted data using AI, natural language, dashboards, and other analytical interfaces. • Build AI-enabled workflows and agents that accelerate analysis, uncover insights, and reduce repetitive analytical work, ensuring AI-generated answers are grounded in trusted data, transparent, and verifiable. • Turn complex and ambiguous business and product questions into structured analyses, clear insights, and actionable answers. • Develop metrics and analytical frameworks that connect user behavior, product performance, on-chain activity, market dynamics, and business outcomes. • Proactively identify trends, anomalies, opportunities, and risks, and establish standards for analytical quality, metrics, dashboards, and decision support. • Design and evolve data architecture, models, pipelines, and transformations, integrating on-chain and off-chain data into reliable, scalable, and reusable data products. • Ensure data is accurate, well-structured, documented, discoverable, and accessible to people and AI systems, with strong standards for quality, observability, maintainability, and performance. • Use Dune at an expert level to investigate DEX aggregators, DEXes, swaps, liquidity, routing, users, protocols, and markets, building reusable on-chain datasets and analytical models. • Combine blockchain, product, and business data to create a comprehensive view of users, ecosystem activity, and market dynamics, and continuously explore new data sources and analytical approaches.
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