Business Intelligence, Data Analyst
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Job Description
Business Intelligence/Data Analyst analyzing large-scale transactional, operational, and customer data at Binance, a global blockchain ecosystem. Building visualizations, machine learning models, and executive recommendations.
Responsibilities:
- Work across all aspects of data, from engineering to building sophisticated visualisations, machine learning models and experiments
- Analyse 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
- Operate in 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
- Ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- Ability to identify, investigate and explain trends and patterns in data
- Ability to analyse and break down complex concepts and technical findings into clear and simple language
- Competency in two or more of: analytical software such as R or SAS; data visualisation tools such as Qlikview, Tableau or PowerBI; relational or graph database management tools such as SQL, NoSQL or Neo4J; programming languages such as VBA, C++, Java or Python
- Prior internal/client-facing consulting/business transformation experience preferred
- Passion for emerging technologies related to Blockchain, Machine Learning and AI
Benefits:
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
- Opportunities for career growth and continuous learning
- Collaboration with world-class talent
- Autonomy in an innovative environment
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