Binance Accelerator Program - Data Analyst UAE, Dubai / Early Careers / Data & Analytics Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around 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 Who may apply Current university students and recent graduates
Data is at the core of Binance’s mission to serve tens of millions of crypto-currency users. Data Analysts across the company perform impactful analysis to identify trends, and make strategic and important decisions that impact an active and rapidly growing user base.
We are looking for talented Junior Data Analyst candidates to join our team. We are open to undergraduates assuming you are passionate about Data Analytics/crypto. About the Role: - 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
- 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..)
Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our
.
Privacy Preference Center
Manage Consent Preferences