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Data Analyst (Cloud)

Binance
Asia / Singapore / Taiwan, Taipei
Remote
9
Very Calm

Summary

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
  • Translate complex findings into simple visualisations and recommendations for operational teams and executives

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
  • Competency in analytical software, data visualisation tools, and programming languages

Work-Life Balance Benefits

  • Flexible working hours
  • Remote-first work environment
  • Casual work attire

Benefits

  • Competitive salary and benefits
  • Excellent career development opportunities
  • Collaboration with diverse, world-class talent

Apply Now

👉 Please mention that you found this job on CalmJobs, thanks!

Full Details of Job Post

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.
Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.

If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.

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
    • 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
    • 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)
Working at Binance
• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities
• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless
• Tackle fast-paced, challenging and unique projects
• Work in a truly global organization, with international teams and a flat organizational structure
• Competitive salary and benefits
• Flexible working hours, remote-first, and casual work attire

Learn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth.

Apply today to be a part of the Web3 revolution!

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Apply Now

👉 Please mention that you found this job on CalmJobs, thanks!

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