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Binance Accelerator Program - Data Analyst
BinanceJob Summary
The Binance Accelerator Program is a fixed-term program designed for early career talent to experience life at Binance and understand the inner workings of the world's leading blockchain ecosystem. As a data analyst, you will work across various aspects of data, from engineering to visualization, machine learning models, and experiments. You will analyze large volumes of transactional, operational, and customer data using proprietary and open-source tools. Your responsibilities include translating complex findings into simple visualizations and recommendations for execution by operational teams and executives. This role offers a chance to be part of the world's leading blockchain ecosystem, work with diverse talent, and tackle fast-paced projects. With competitive salary and benefits, flexible working hours, and remote-first options, this is an excellent opportunity for those looking to contribute to the crypto-currency revolution.
Responsibilities
- Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
- 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
- Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
- Be part of a fast-paced industry and organisation where time to market is critical
Requirements
- Undergraduate in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
- Relevant work experience in an Analytics or Data Science role will be a plus
- Experience with common analysis tools such as SQL, R, and Python
- Experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
- A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication