| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
Binance📍 Asia |
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Bcbgroup📍 Remote | $105k - $120k | |||
ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
Zinnia📍 Remote | $91k - $99k | |||
Okx📍 Remote | $98k - $150k | |||
Integra📍 Remote | $21k - $52k | |||
Integra📍 Remote | $21k - $52k | |||
| $72k - $84k | ||||
| $88k - $101k | ||||
| $105k - $108k | ||||
Bluecubeservices📍 Remote | $79k - $100k | |||
Alpaca📍 Remote | $122k - $123k | |||
Nansen📍 Remote | $72k - $100k | |||
| $88k - $101k |
Data Analyst Team Lead
Responsibilities
- Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualisations and recommendations for execution
- Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
- Be part of a fast-paced industry and organisation where time to market is critical
Requirements
- Minimum 8 years of industry experience applying advanced analytics
- Demonstrated experience in the application of analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions; and of supervising the work of others, preferably analytics or engineering roles
- A desire and ability to think abstractly, solve problems and deal with ambiguity
- Enthusiasm and drive to be a leader in our team, helping shape and develop its future
- Strong communication, presentation, project management and time management skills
- Advanced competency in two or more of the following:
-- Analytical software (e.g. R, SAS);
-- Data visualisation tools (e.g. Qlikview, Tableau, PowerBI,);
-- A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J);
Programming. (e.g. VBA, C++, Java, Python);
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.