Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

REQUIREMENTS

• Have a strong passion for Web3 data and have knowledge of different crypto sectors and familiar with the top players’ mechanism of each sector
• Strong critical thinking and analytical skills
• 3+ year experience; Bachelor’s degree from an accredited university or college in Computer Science or Math or Statistics
• Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs
• Experience with data querying using languages such as SQL, GraphQL and Python
• Experience in using tools such as Dune analytics, Flipside, Nansen, etc
• Understand project smart contracts and have good knowledge of the Web3 infrastructure landscape
• Understand addressing and metadata standards for multiple public chains

• Working across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments
• Producing institutional grade data insights reports on macro trends as well as sector trends, including but not limited to DeFi, NFT, Gaming, Metaverse, L1/L2 and Middleware etc, for both internal and external clients
• Analyze and interpret large volumes of on-chain transactional and operational data (both EVM and non-EVM) using proprietary and open source data tools, platforms and analytical tool kits
• Processing confidential data and information according to guidelines
• Managing and designing the reporting environment, including data sources, security, and metadata
• Troubleshooting the reporting database environment and reports