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| Job Position | Company | Posted | Location | Salary | Tags |
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Binance | Hong Kong, Hong Kong |
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Data Analyst (Institution)
Asia / Hong Kong / Taiwan, Taipei
Data & Research â Data & Analytics /
Remote
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Binance is a leading global blockchain ecosystem behind the worldâs largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 300 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.
Responsibilities
- Analyse data independently to deliver insights about operational performance and proactively drive improvements
- Write and optimize SQL queries to extract, clean, and analyze data from multiple data sources
- Act as a strategic data business partner to your stakeholders
- Support ad-hoc analysis requests from business and operational teams
- Ensure data accuracy, consistency, and reliability in reporting
- Be part of a fast-paced industry and organisation where time to market is critical
Requirements
- Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science or Engineering
- 1-3 years of full-time work experience in an Analytics or Data Science role
- Solid working knowledge of SQL (joins, aggregations, subqueries)
- Experience with at least one data visualization tool (Tableau, Power BI, Looker, etc.)
- A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
- Experience with Python or R for data analysis
- Exposure to financial markets or trading data, including spot and/or derivatives trading data (e.g. volumes, depth, positions, order/trade data)
- Basic knowledge of cryptocurrency markets and products, such as spot trading, derivatives, and on-chain or exchange-level metrics
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Nice to have
Why Binance
⢠Shape the future with the worldâs leading blockchain ecosystem
⢠Collaborate with world-class talent in a user-centric global organization with a flat structure
⢠Tackle unique, fast-paced projects with autonomy in an innovative environment
⢠Thrive in a results-driven workplace with opportunities for career growth and continuous learning
⢠Competitive salary and company benefits
⢠Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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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.