Binance Accelerator Program - Data Analyst

at  Binance

Remote, Tasmania, Australia -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate22 Jul, 2024Not Specified29 Apr, 2024N/AR,Life Sciences,Data Models,Analytical Software,Mechanics,Emerging Technologies,Programming Languages,Qlik,Python,Blockchain,Machine Learning,Tableau,Sql,Computer ScienceNoNo
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Description:

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.

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..)

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


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

A quantitative discipline such as mathematics/statistics actuarial sciences computer science engineering or life sciences

Proficient

1

Remote, Australia