Research Data Analyst
Binance
- Singapore Taipei City
- Permanent
- Full-time
- Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments
- Produce 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
- Have strong passion for web3 data and have knowledge of different crypto sectors and familiar with the top players' mechanism of each of sectors
- 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, Python
- Experience in using tools such as Dune analytics, Flipside, Nansen etc
- Understands project smart contract and has good knowledge of the Web 3.0 infrastructure landscape
- Understanding of addressing and metadata standards for several public chains
- Be a part of the world's leading blockchain ecosystem that continues to grow and offers excellent career development opportunities
- Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless
- Tackle fast-paced, challenging and unique projects
- Work in a truly global organization, with international teams and a flat organizational structure
- Competitive salary and benefits
- Flexible working hours, remote-first, and casual work attire