Binance Accelerator Program - Data Analyst
atBinance
Jun 09
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 leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange. Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.About Binance Accelerator ProgramBinance 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 HEREWho may applyCurrent university students and recent graduates.
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
- A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
- (Good to have) Experience and understanding of Blockchain concepts and mechanics (Defi, NFT, Metaverse, etc..)
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