Research Data Analyst
at Binance
Posted 6 hours ago
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- Compensation
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Binance is seeking a Research Data Analyst to produce institutional-grade data insights on macro trends and sector trends (DeFi, NFT, Gaming, Metaverse, L1/L2). The role involves analyzing large volumes of on-chain data (EVM and non-EVM), including parsing complex smart contract interactions, tracing fund flows, and identifying whale movements, wash trading, and MEV activities. You will leverage proprietary and open-source tools (Dune, Nansen, Arkham, custom scripts) to extract actionable intelligence and reconstruct transaction graphs for forensic purposes. You will work across engineering to build sophisticated visualizations and experiments, including ML models.
Responsibilities
- Produce institutional-grade data insights reports on macro trends and sector trends (DeFi, NFT, Gaming, Metaverse, L1/L2, Middleware) for internal stakeholders.
- Analyze and interpret large volumes of on-chain transactional and operational data (EVM and non-EVM), including: (1) Parsing complex smart contract interactions and multi-signature transactions; (2) Tracing fund flows across wallets, bridges, DEXs, and CEXs; (3) Identifying whale movements, wash trading patterns, and MEV activities; (4) Reconstructing transaction graphs for forensic investigations
- Leverage proprietary and open-source tools (Dune, Nansen, Arkham, custom scripts) to extract actionable intelligence from blockchain data
- Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments
Requirements
- 3+ years experience in blockchain data analysis; Bachelor's in Computer Science, Math, or Statistics• Deep passion for Web3 data across DeFi, NFT, Gaming, L1/L2 ecosystems and key protocols
- Advanced on-chain forensics expertise: (1) Parse complex smart contract transactions (multicalls, batch txs, flashloans); (2) Trace fund flows across wallets, bridges, DEXs, and CEX deposit addresses; (3) Reconstruct transaction graphs and identify sophisticated laundering patterns; (4) Detect wash trading, MEV bots, and coordinated whale activities
- Technical proficiency: (1) SQL, Python, GraphQL for large-scale blockchain data querying; (2) ETL pipelines and API integration (Dune, Nansen, Arkham, Glassnode, internal tools); (3) Smart contract analysis (Etherscan, BlockSec, custom decoding scripts)
- Exchange data experience: (1) CEX deposit/withdrawal flow analysis; (2) Spot/futures volume attribution and fake volume detection; (3) Cross-chain bridge monitoring and liquidity flows
- Familiar with Web3 infrastructure (L1/L2 addressing standards, metadata formats, RPC endpoints)

