Binance is hiring a
Senior Data Analyst

Logo of Binance

Binance

πŸ’΅ ~$125k-$150k
πŸ“Remote - China

Summary

Join Binance, the leading global blockchain ecosystem and cryptocurrency infrastructure provider, as a Data Analyst. Oversee high-performing team members, design complex visualizations, and analyze large volumes of data to meet compliance requirements.

Requirements

  • Bachelor’s degree and above in a quantitative or engineering field with professional work experience in a relevant field
  • Strong analytical thinking and communication skills
  • Minimally 5 to 8 years of working experience with common analysis tools such as SQL, R, and Python
  • Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
  • Familiar and comfortable with large volumes of data and big data technology (Hadoop, Redshift, Spark, Presto, hive)
  • Experience in working with cross-functional teams to gather requirements and ability to set work priorities
  • Good business sense and logical thinking. Ability to synthesize information and generalize the pattern

Responsibilities

  • Leading through example: Overseeing high performing, multidisciplinary members of the Data Analyst team
  • Design and build complex visualizations and analytical models to help us meet compliance or regulatory requirements
  • Build several data analytical systems to help business teams improve work efficiency
  • Work closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use case
  • Turn complex findings into simple visualizations and recommendations for execution
  • 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
  • Support and manage data requests from business stakeholders – can understand business change needs and assess the impact of those changes

Benefits

  • Competitive salary and benefits
  • Flexible working hours, remote-first, and casual work attire

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