Binance Accelerator Program - Data Analyst (Data Product)

Asia / Taiwan, Taipei / Vietnam, Ho Chi Minh / Australia, Melbourne / Australia, Sydney / Australia, Brisbane
Data & Research – Data & Analytics /
Early Careers /
Remote
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.

Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

About Binance Accelerator Program 
 
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.

Learn about BAP Program HERE
 
Who may apply
 
Current University students and recent graduates who can commit at least 6 months tenure, minimum 4 days per week

Responsibilities:

    • Analyze crypto user behaviors to develop product strategies aimed at increasing trading conversions.
    • Conduct user interviews, gather and analyze user feedback and incorporate insights into product requirement documentations
    • Collaborate with product managers to identify opportunities for AI-driven improvements.
    • Monitor product performance and user engagement, using data to inform ongoing improvements and iterations.

Requirements:

    • Undergraduate with strong business data analysis skills (e.g., data/business analytics programs).
    • Proficient in SQL for data analysis.
    • Experienced in using GPT, AI assistant and crypto/stock trading products.
    • Proactive, self-motivated, and eager to learn and contribute to innovative AI projects.