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Business Intelligence Data Analyst at Binance (Remote, Hong Kong)
Analyze large-scale transactional, operational, and customer data at Binance, a global blockchain ecosystem. Build visualizations and machine learning models, then turn findings into recommendations for executives and operational teams.
विवरण
- Contribute across the data lifecycle, from engineering through advanced visualization, machine learning, and experimentation
- Analyze and interpret petabyte-scale transactional, operational, and customer datasets with proprietary and open-source tools, platforms, and analytical toolkits
- Convert complex analysis into clear visualizations and actionable recommendations for operational teams and executives
- Work in a fast-moving organization where rapid delivery is essential
आवश्यकताएँ
- A degree in a quantitative field such as mathematics, statistics, actuarial science, computer science, engineering, or life sciences
- Three to five years of full-time experience in analytics or data science
- Ability to learn and apply new analytical tools, data models, programming languages, and techniques quickly
- Ability to detect, investigate, and explain data trends and patterns
- Ability to communicate complex concepts and technical findings in clear, accessible language
- Proficiency in at least two of the following: analytical software such as R or SAS; visualization platforms such as QlikView, Tableau, or Power BI; relational or graph databases such as SQL, NoSQL, or Neo4j; programming languages such as VBA, C++, Java, or Python
- Previous internal or client-facing consulting or business transformation experience is preferred
- Interest in emerging technologies including blockchain, machine learning, and artificial intelligence
लाभ
- Competitive compensation and company benefits
- Work-from-home arrangement, subject to variation based on the business team's work
- Career development and ongoing learning opportunities
- The chance to collaborate with leading professionals worldwide
- Autonomy within an innovative work environment
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