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Senior Data Analyst (Content)

Binance
Asia / Taiwan, Taipei
Remote
Full-time: Remote
10
Very Calm

Summary

Responsibilities

  • Responsible for data analysis in the square and trading insights scenarios.
  • Provide advanced analytics, reporting, and BI applications.
  • Support and manage data requests from business stakeholders.

Requirements

  • Minimally 8 years of work experience in data analysis, proficient in statistical analysis, machine learning, and other data analysis techniques.
  • Proficiency in SQL, Spark, Python, Power BI, Tableau, and other common data analysis tools.
  • Excellent communication skills in both English and Mandarin.

Work-Life Balance Benefits

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

Benefits

  • Competitive salary and benefits
  • Career development opportunities
  • Work alongside 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:
• Responsible for data analysis in the square and trading insights scenarios.
• Provide advanced analytics, reporting, and BI applications.
• Support and manage data requests from business stakeholders; able to understand business change requirements and assess the impact of these changes.
• Collaborate closely with Square and trading businesses to identify, prioritize, and deliver their most pressing and impactful analysis use cases.
• Utilize BI + AI(LLM) solutions to drive the implementation of autonomous data analysis.
Lead junior data analysts in completing challenging data analysis projects.

Requirements:
• Minimally 8 years of work experience in data analysis, proficient in statistical analysis, machine learning, and other data analysis techniques. 
• Proficiency in SQL, Spark, Python, Power BI, Tableau, and other common data analysis tools.
• Extensive experience in content platform or internet product data analysis, familiarity with relevant data metrics and analysis methods.
• Deep understanding of business processes and requirements, able to translate complex analytical insights into executable action plans.
• Excellent communication skills in both English and Mandarin, collaborating effectively with cross-national and cross-cultural teams.
• Strong initiative, able to proactively identify and solve business problems, demonstrating a strong sense of responsibility and ownership.
• Continuous learning attitude, stay informed, and explore the latest data analysis technologies and the integration of LLM with data analysis.
• Strong communication, presentation, project management and time management skills.
• Strong teamwork and leadership skills, effectively managing and developing the data analysis group.

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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