Job Description
Binance is seeking a Data Analyst to work across all aspects of data, from engineering to building visualizations, machine learning models, and experiments. The role involves analyzing and interpreting large volumes of transactional, operational, and customer data using proprietary and open-source tools. Responsibilities include translating complex findings into simple visualizations and recommendations for operational teams and executives, and working in a fast-paced environment where time to market is critical. The company offers a competitive salary, benefits, and opportunities for career growth and continuous learning.
Good To Have:
- Proficiency in R, SAS, or similar analytical software
- Experience with visualization tools like Tableau, Power BI
- Familiarity with SQL, NoSQL, or Neo4J
- Programming skills in Python, Java, C++, or VBA
Must Have:
- Degree in quantitative discipline
- 8-10 years of Analytics/Data Science experience
- Self-driven team player
- Curiosity to investigate data trends
- Ability to simplify complex findings
Perks:
- Shape the future with a leading blockchain ecosystem
- Collaborate with world-class talent
- Tackle unique projects with autonomy
- Results-driven workplace with growth opportunities
- Competitive salary and benefits
- Work-from-home arrangement
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve 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
- 8-10 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
- A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
- 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)
Competency in two or more of the following:
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business 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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