Remote Senior Data Analyst

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Binance

πŸ“Remote - China

Job highlights

Summary

Join Binance, the leading global blockchain ecosystem, as a Data Analyst to accelerate cryptocurrency adoption and increase financial freedom. As a fast-paced, mission-driven organization, opportunities to learn and excel are endless.

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

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

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