Business Intelligence/ Data Analytics Manager

Binance
Hong Kong +1 more
Remote

Who this role is best for

Strong fit for candidates with quantitative expertise who can translate complex data findings into actionable insights for operational teams and executives, and who thrive in a remote-first, fast-paced blockchain environment.

Best fit for

  • Professionals skilled in multiple data tools and comfortable with emerging technologies like blockchain 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)”
  • Individuals with prior consulting or business transformation experience and adaptability to learn new tools and techniques
    — “Prior internal/client-facing consulting/business transformation experience preferred.”

Things to consider

  • Candidates should be prepared for a fast-paced environment where time-to-market is critical
    — “Be part of a fast-paced industry and organisation where time to market is critical”

How to stand out

  • Highlight experience in simplifying complex data findings for non-technical stakeholders
    — “Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives”
  • Showcase fluency in at least two data tools from the listed categories in the job description
    — “Competency in two or more of the following”
  • Emphasize prior experience in blockchain or related emerging technologies
    — “A passion for Emerging Technologies related to Blockchain, Machine Learning and AI”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Company

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

What success looks like

  • accurate data analysis
  • effective visualizations
  • successful model deployment
Typical background
data sciencebusiness intelligencequantitative analysis

Skills & requirements

Required

Data AnalysisMachine LearningData VisualizationData EngineeringBusiness IntelligenceSQLPythonRTableauPowerbi

Preferred

BlockchainAICryptocurrency

Stack & domain

Data AnalysisData VisualizationMachine LearningData ModelingProgrammingProprietary Analytical SoftwareRelational Database ManagementGraph Database ManagementBlockchainAIRSASQlikviewTableauPowerbiSQLNoSQLNeo4jVBAC++JavaPythonCuriosityComplex Concept AnalysisTechnical Finding SimplificationInternal ConsultingBusiness TransformationEmerging Technology PassionFinance

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 executives

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

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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