Business Intelligence/ Data Analyst

Binance
Hong Kong +1 more
RemoteCareer-pivot friendly

Who this role is best for

Aimed at mid-level to senior data professionals with a strong background in quantitative disciplines and a passion for blockchain who can work in a fast-paced, remote-first environment and collaborate across global teams.

Best fit for

  • Candidates with 3-5 years of analytics or data science experience and a focus on blockchain and emerging technologies
    — “3-5 years of full-time work experience in an Analytics or Data Science role”
  • Professionals with a background in quantitative fields and a track record of using multiple data tools and programming languages
    — “Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences”

Things to consider

  • The role may require adapting to different time zones due to global team collaboration
    — “Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)”
  • The position demands a high level of autonomy and quick decision-making in a fast-paced environment
    — “Be part of a fast-paced industry and organisation where time to market is critical”

How to stand out

  • Highlight your ability to simplify complex data findings for non-technical stakeholders
    — “Translate complex findings into simple visualisations and recommendations for execution by operational teams and executive”
  • Demonstrate your hands-on experience with multiple analytical tools and programming languages
    — “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)”
  • Showcase your curiosity and initiative in identifying data trends and patterns independently
    — “A natural curiosity to identify, investigate and explain trends and patterns in data”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • work across all aspects of data
  • build sophisticated visualizations
  • translate complex findings into simple recommendations
Typical background
degree in quantitative discipline3-5 years of work experience in Analytics or Data Science

Skills & requirements

Required

Degree In Quantitative Discipline3-5 Years Of Work Experience In Analytics Or Data ScienceAbility To Quickly Learn New ToolsCuriosity To Identify TrendsPassion For Emerging Technologies

Preferred

Internal/client-facing Consulting ExperienceBlockchain, Machine Learning And AI Knowledge

Stack & domain

Data EngineeringData VisualizationMachine LearningProgrammingBlockchainAnalytical ThinkingCuriosityCommunicationTechnical UnderstandingCryptocurrencyBlockchain TechnologyAI

About the role

Original posting from Binance via Greenhouse

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.

Source: Binance careers (Greenhouse)

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