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Binance

Senior Data Analyst, Trading

Binance

Senior Data Analyst in Data Analytics function at Binance. Partnering closely with trading, operations, and product teams for data insights.

Posted 7/21/2026full-timeRemote • 🇸🇬 SingaporeSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, machine learning, and data visualization to support trading operations. Proficient in translating complex data findings into actionable insights for diverse stakeholders.

Highest-signal resume keywords
Data AnalysisMachine LearningData VisualizationProgramming LanguagesAnalytical Software

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisMachine LearningData VisualizationSQLPythonRSASVBAC++Java
Soft Skills
Self-DrivenTeam PlayerCuriosityCommunication
Tools & Technologies
QlikviewTableauPowerBINoSQLNeo4J
Industry Keywords
Emerging TechnologiesBlockchainBusiness TransformationConsulting

Tech Stack

Tools & technologies
JavaNeo4jNoSQLOpen SourcePythonSQLTableauVBA

About the role

Key responsibilities & impact
  • Work across all aspects of data — from engineering to building sophisticated visualisations, machine learning models and experiments — in support of the Trading business
  • 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 trading, operational teams and executives
  • Be part of a fast-paced industry and organisation where time to market is critical

Requirements

What you’ll need
  • Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
  • At least 3 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 break down complex concepts and technical findings into clear, simple language
  • 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)

Benefits

Comp & perks
  • Competitive salary and company benefits
  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)