Binance Accelerator Program - Data Analyst
atBinance
Apr 05
Founded by Changpeng Zhao (CZ) in 2017, Binance is currently the largest cryptocurrency exchange in terms of daily volume. Binance is the core global exchange. However, Binance operates separate exchanges in some countries such as the US, UK, Singapore, and Turkey due to regulatory reasons.
Since Binance has global operations, the exchange does a lot of hiring on a regular basis. Being a market leader, Binance Jobs also come with significant perks. Most of the jobs are remote, with flexible working hours. Binance also offers health insurance, the option to be paid in crypto, and programs to develop your skills.
If you're looking for Binance US Jobs, a wide range of them are also available most of the time. On average, the Binance Interview process lasts 2-4 weeks with 4 steps: Application Review, Interview, Offer, and finally Onboarding.
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?Binance Accelerator Program is a concise 3 - 6 months program designed 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 world' s 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. You will be hired under a junior fixed term contract.
Responsibilities
- Participate in data cleaning, analysis, and modeling for core business operations, extracting insights and transforming them into actionable business intelligence
- Apply statistical analysis and machine learning techniques to develop data models that address real-world challenges (e.g., user behavior prediction, operational efficiency optimization)
- Leverage large model technologies (e.g., LLMs) to explore innovative applications such as automated report generation and intelligent Q&A systems
- Collaborate with business teams to translate data insights into visual reports (Dashboards/PPTs) that support management decision-making
- Monitor data quality and contribute to the design and optimization of data collection, storage, and processing workflows
Requirements
- Bachelor's degree in Data Science, Statistics, Mathematics or related discipline
- Proficient in data analysis tools (Python/R/SQL) and familiar with libraries such as Pandas, NumPy, Scikit-learn
- Understanding of large model fundamentals and fine-tuning techniques (e.g., Prompt Engineering, Fine-tuning); hands-on experience is a plus
- Familiarity with data visualization tools (Tableau, Power BI, Matplotlib)
- Ability to quickly grasp business needs and translate abstract problems into data-driven solutions
- Strong data intuition, capable of identifying patterns, anomalies, and potential opportunities from large datasets
- Fluency in English and Chinese is required to be able to coordinate with overseas partners and stakeholders
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