Senior Data Analyst

Summary

Join the Uniswap Foundation as a Senior Data Analyst and leverage on-chain data to drive growth, product, and research initiatives across the Uniswap and Unichain ecosystems. You will analyze user behavior, liquidity trends, and trading flows; partner with cross-functional teams; build and maintain data pipelines, dashboards, and reports; conduct in-depth analyses of AMM mechanics and DeFi protocols; translate data into actionable strategies; design and test hypotheses; and monitor ecosystem health. Success in this role requires a proactive approach, technical fluency in smart contract events and on-chain data, strong quantitative skills, excellent communication, and adaptability to a fast-paced environment. The ideal candidate will have a proven track record of data analysis and experience with SQL and/or Python.

Requirements

• 2+ years of hands-on experience in data analysis, quantitative research or statistics
• Intermediate to advanced proficiency with SQL and/or Python (or R)
• Deep familiarity with on-chain data structures, DeFi protocols and AMM mechanics
• Proven track record of designing and maintaining dashboards and ETL/data pipelines

Responsibilities

• Shape growth strategy by analyzing user behavior, liquidity trends and trading flows on Uniswap and Unichain
• Partner cross-functionally with Growth, Research, Developer Experience and Marketing to define priorities, identify opportunities and measure impact
• Build and maintain data pipelines, dashboards and reports that surface key metrics and drive data-informed decisions
• Conduct deep-dive analyses on AMM mechanics, DeFi protocols and emerging market trends
• Translate data into strategy —craft clear narratives, visualizations and playbooks for both technical and non-technical audiences
• Design and test hypotheses against large on-chain datasets, iterating toward increasingly precise models and forecasts
• Monitor ecosystem health through ongoing market research, identifying new trends in DEXs and DeFi, and recommending actionable next steps

Preferred Qualifications

• Advanced degree in Data Science, Statistics, Computer Science or a related field
• Public presence through data-driven content (e.g. blog posts, Twitter or Farcaster threads)