Data Analyst Team Lead

Binance; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Binance in Hong Kong seeks a senior leader to oversee the Data & Analytics team, designing complex visualisations and models to understand market and operational impacts on the business. You will guide cross-functional stakeholders, prioritise impactful use cases, and translate findings into actionable recommendations.

Ideal candidates bring 8+ years of analytics experience, leadership ability, and strong skills in visualization tools, programming, and data platforms.

Qualifications

• Degree in a quantitative discipline such as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences.
• Minimum 8 years of industry experience applying advanced analytics.
• Demonstrated experience in applying analytical techniques to guide operational improvements and supervising others.
• Ability to think abstractly, solve problems and handle ambiguity.
• Strong communication, presentation, project management and time management skills.

Responsibilities

• Overseeing high performing, multidisciplinary members of the Data & Analytics team, you will design and build complex visualisations and analytical models to understand the impact of various market or operational changes to our business.
• Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualisations and recommendations for execution.
• 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.

Skills

Advanced analytics

Leadership

Programming (Python/Java)

Data visualization

Critical thinking

Education

Degree in quantitative discipline

Tools

R/SAS

PowerBI/Tableau

SQL/NoSQL/Neo4j

Excel

Job description

• Overseeing high performing, multidisciplinary members of the Data & Analytics team, you will design and build complex visualisations and analytical models to understand the impact of various market or operational changes to our business
• Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualisations and recommendations for execution
• 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
• Be part of a fast-paced industry and organisation where time to market is critical
  

Responsibilities

• Overseeing high performing, multidisciplinary members of the Data & Analytics team, you will design and build complex visualisations and analytical models to understand the impact of various market or operational changes to our business
• Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualisations and recommendations for execution
• 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
• Be part of a fast-paced industry and organisation where time to market is critical
  

Requirements

• 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 in the application of analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions; and of supervising the work of others, preferably analytics or engineering roles
• A desire and ability to think abstractly, solve problems and deal with ambiguity
• Enthusiasm and drive to be a leader in our team, helping shape and develop its future
• Strong communication, presentation, project management and time management skills
• Advanced competency in two or more of the following:
• Analytical software (e.g. R, SAS);
• Data visualisation tools (e.g. Qlikview, Tableau, PowerBI,);
• A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J);
  

Programming. (e.g. VBA, C++, Java, Python);

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.