Remote Data & BI Analyst: Visualizations & ML

Binance; Hong Kong; Remoto; HKD 706.000 - 1.176.000; Tempo pieno

Descrizione del lavoro

Binance in Hong Kong seeks a data analytics professional to work across data engineering, analytics, and visualization, building ML models and experiments on PB-scale data. You will analyse vast transactional and operational datasets using both proprietary and open-source tools, translating findings into clear visualisations and actionable recommendations for execution by operations and executives.

Ideal candidates have 3-5 years of analytics experience, a quantitative degree, and comfort with

Competenze

• Degree in a quantitative discipline (Math/Stats/CS/Engineering/Life Sciences).
• 3-5 years of full-time Analytics/Data Science experience.
• Ability to learn and apply new tools and techniques.
• Ability to translate complex findings into clear visuals and language.
• Prior internal consulting/business transformation experience preferred.
• Interest in Emerging Technologies: Blockchain, ML, AI.

Mansioni

• Work across all aspects of data from engineering to building visualisations and ML experiments.
• Analyse large volumes of transactional, operational and customer data using proprietary and open-source tools.
• Translate findings into simple visualisations and actionable recommendations for operations and executives.
• Be part of a fast-paced organisation where time to market is critical.

Conoscenze

Analytical software

Data visualisation tools

Databases (SQL/NoSQL/Neo4J)

Programming (Python/Java/C++)

Formazione

Bachelor's degree in a quantitative field

Strumenti

R/SAS

Tableau/PowerBI

Neo4J

Descrizione del lavoro

Binance in Hong Kong seeks a data analytics professional to work across data engineering, analytics, and visualization, building ML models and experiments on PB-scale data. You will analyse vast transactional and operational datasets using both proprietary and open-source tools, translating findings into clear visualisations and actionable recommendations for execution by operations and executives.

Ideal candidates have 3-5 years of analytics experience, a quantitative degree, and comfort with