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Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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This job is closed
On-chain Data Analyst
Responsibilities/duties:
- Analyze on-chain data across protocols to identify insights on user behavior, market dynamics, and network performance through pattern, trend, and anomaly detection.
- Develop strategies to identify and target high-quality token holders for distribution.
- Conduct and publish research on trends and patterns in on-chain data.
- Create and present visualizations and data reports to clients and team members.
- Collaborate with the engineering team to enhance data collection and analysis tools.
- Research and develop blockchain technology and explore new data sources and use cases.
- Monitor crypto market trends, gain insights, and share with relevant teams.
Qualifications:
- Bachelor's degree in computer science, mathematics, statistics, or a related field.
- Strong understanding of crypto and its applications.
- Experience with on-chain data analysis tools, such as Dune Analytics or Flipside Crypto.
- Familiarity with data analysis and visualization tools, such as SQL, Python, R, Tableau, or similar.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Strong problem-solving and analytical skills.Attention to detail and ability to work independently.
Nice to haves:
- Experience in token distribution and the crypto industry.
- Understanding of smart contract development and Solidity programming language.
- Experience in statistical analysis and machine learning techniques.
- Familiarity with DeFi protocols and their use cases.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.