Business Intelligence/ Data Analyst

Binance; Malaysia; Remote; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly work environment

Competitive compensation

Global exposure

Job summary

Binance is seeking a data analytics professional to transform large-scale transactional and operational data into actionable insights. You will build visualisations, ML models, and experiments, partnering with engineering and product teams.

The role requires a quantitative degree and 3–5 years in analytics or data science. A remote-first culture with global collaboration and competitive compensation awaits the right candidate.

Qualifications

• 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 Analytics or Data Science.
• Self-driven team player able to learn and apply new tools and techniques.

Responsibilities

• Work across data from engineering to building visualisations, ML models, and experiments.
• Analyze large PB-scale data using proprietary and open-source tools.
• Translate findings into simple visualisations and actionable recommendations for operations and executives.
• Be part of a fast-paced environment where time to market is critical.

Skills

R/SAS

Tableau/PowerBI

SQL/NoSQL

Python/Java

Education

Mathematics/Statistics/CS degree

Tools

Proprietary analytics software

Data modeling tools

Job description

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.

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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.