Research Data Analyst Intern

Summary

The Binance Accelerator Program is a fixed-term program for early career talent to gain experience in the Web3 space at Binance. The program focuses on networking and development, and the selected candidate will work across various aspects of data analysis and management.

Requirements

• Bachelor’s degree from an accredited university or college in Computer Science or Math or Statistics
• Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs
• Experience with data querying using languages such as SQL, GraphQL, Python
• Able to commit minimum 3 days per week for at least 6 months
• Understands project tokenomics and has good knowledge of the DeFi and Web 3.0 infrastructure landscape
• Experience in using tools such as Dune analytics, Nansen etc
• Understanding of addressing and metadata standards
• High-level written and verbal communication skills

Responsibilities

• Work across all aspects of data from engineering to building sophisticated visualizations, 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 visualizations and recommendations for execution by operational teams and executives
• Processing confidential data and information according to guidelines
• Managing and designing the reporting environment, including data sources, security, and metadata
• Troubleshooting the reporting database environment and reports

Benefits

• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities
• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless
• Tackle fast-paced, challenging and unique projects
• Work in a truly global organization, with international teams and a flat organizational structure
• Competitive salary and benefits
• Flexible working hours, remote-first, and casual work attire