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Binance

Data Analyst – Team Lead

Binance

. Oversee high-performing, multidisciplinary members of the Data & Analytics team .

Posted 9/18/2026full-timeRemote • SingaporeSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in advanced analytics and data visualization, with a strong ability to interpret large datasets and provide actionable insights. Proven leadership in managing multidisciplinary teams and driving operational improvements through analytical techniques.

Highest-signal resume keywords
Advanced AnalyticsData VisualizationTeam LeadershipAnalytical Software (R, SAS)Database Management (SQL, NoSQL)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Advanced AnalyticsData VisualizationAnalytical TechniquesStatistical AnalysisProgramming (VBA, C++, Java, Python)
Soft Skills
Strong CommunicationProject ManagementTime ManagementProblem SolvingLeadership
Tools & Technologies
RSASQlikviewTableauPowerBISQLNoSQLNeo4J
Industry Keywords
Data & AnalyticsOperational ImprovementsMarket AnalysisTransactional DataCustomer Data

Tech Stack

Tools & technologies
JavaNeo4jNoSQLPythonSQLTableauVBAC++

About the role

Key responsibilities & impact
  • Oversee high-performing, multidisciplinary members of the Data & Analytics team
  • Design and build complex visualisations and analytical models to understand the impact of market or operational changes on the business
  • Work closely with operational and functional areas to identify, prioritise and deliver pressing and impactful analytical use cases
  • Turn complex findings into simple visualisations and recommendations for execution
  • Analyse and interpret large, PB-scale volumes of transactional, operational and customer data using proprietary and open-source data tools, platforms and analytical toolkits
  • Operate in a fast-paced industry and organisation where time to market is critical

Requirements

What you’ll need
  • Degree in a quantitative discipline, as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences
  • Minimum 8 years of industry experience applying advanced analytics
  • Demonstrated experience applying analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions
  • Experience supervising the work of others, preferably in analytics or engineering roles
  • Desire and ability to think abstractly, solve problems and deal with ambiguity
  • Enthusiasm and drive to be a leader in the team, helping shape and develop its future
  • Strong communication, presentation, project management and time management skills
  • Advanced competency in two or more of: analytical software such as R or SAS; data visualisation tools such as Qlikview, Tableau or PowerBI; relational or graph database management tools such as SQL, NoSQL or Neo4J; programming such as VBA, C++, Java or Python