Business Intelligence/ Data Analyst
- Thỏa thuận
- 3 - 5 năm kinh nghiệm
Hạn nộp hồ sơ: 06/11/2026 (Còn 21 ngày)
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Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 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
Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
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
Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
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, Engineering, or Life Sciences
3-5 years of full-time work experience in an Analytics or Data Science role
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
Prior internal/client-facing consulting/business transformation experience preferred.
A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
Competency in two or more of the following:
An analytical software (e.g. R, SAS)
A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
Programming (e.g. VBA, C++, Java, Python)
Why Binance
Shape the future with the world's 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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
Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
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
Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
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, Engineering, or Life Sciences
3-5 years of full-time work experience in an Analytics or Data Science role
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
Prior internal/client-facing consulting/business transformation experience preferred.
A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
Competency in two or more of the following:
An analytical software (e.g. R, SAS)
A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
Programming (e.g. VBA, C++, Java, Python)
Why Binance
Shape the future with the world's 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
Thông tin chung
- Thu nhập: Thỏa thuận
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