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Zora📍 Remote | $185k - $225k | |||
Bitmex📍 Remote | $22k - $80k | |||
ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
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| $87k - $101k | ||||
Launchpadtechnologiesinc📍 Remote | $91k - $120k | |||
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Fun.xyz📍 New York, NY, United States | $134k - $165k | |||
| $87k - $115k | ||||
Figure📍 Remote | $158k - $198k | |||
| | $73k - $115k | |||
Eclipse📍 Remote | $90k - $102k |
Data Analyst - Financial/ Derivatives
Responsibilities:
- Develop and maintain Datawind / Sensor Dashboards for derivatives products (Futures, Options)
- Build and manage intermediate data tables to support dashboard analytics and reporting
- Monitor and analyze product performance metrics to provide actionable insights
- Collaborate with product teams to conduct ad-hoc product analysis beyond dashboard scope when needed
- Ensure data accuracy, consistency, and timely delivery of reports
Requirements:
- Proven experience as a Data Analyst, preferably in financial products or derivatives trading
- Strong skills in data visualization tools and dashboard development.
- Proficient in SQL and data engineering for building intermediate data tables
- Familiarity with derivatives products such as Futures and Options.
- Analytical mindset with strong problem-solving skills
- Ability to work collaboratively in a fast-paced environment
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.