Binance

Business Intelligence/ Data Analyst

Binance Hong Kong Island, Hong Kong, China

Technology, Information and Internet · 5,001-10,000 employees

Oct 27
Remote data-analyst Mid (2-5 yrs) Full-time China
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About the role

You will analyze large volumes of transactional and operational data to build sophisticated visualizations and machine learning models. Additionally, you will translate complex technical findings into actionable recommendations for executive and operational teams.

What they look for

Data Engineering Data Visualization Machine Learning Statistical Analysis SQL NoSQL Neo4J R SAS Qlikview Tableau PowerBI Python C++ Java VBA

Requirements

Candidates must hold a degree in a quantitative discipline such as Mathematics, Statistics, or Computer Science. You are required to have 3-5 years of full-time experience in an analytics or data science role with proficiency in relevant programming languages and analytical tools.

Benefits

Competitive salary Company benefits Remote-first work arrangement

Full description

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, and more. Our mission is to increase the freedom of money and 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 executive
  • 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 of finance
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read 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.

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