Binance Accelerator Program - Research Data Analyst Intern at Binance
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

23 Apr, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Languages, Python, Communication Skills, Computer Science, Metadata, Statistics, Graphql, Sql, Modeling, Data Engineering

Industry

Information Technology/IT

Description

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 250 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.

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
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