Senior Data Analyst

Senior Data Analyst (Data Analytics): Analyze and interpret large-scale transactional, operational, and customer data to build visualizations, machine learning models, and experiments with an accent on blockchain and AI technologies. Focus on translating complex data findings into actionable insights and recommendations for operational teams and executives in a fast-paced environment.

Location: Work-from-home arrangement with flexibility depending on business team needs

Company

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users, offering a broad portfolio of digital-asset products and services worldwide.

What you will do

• Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments.
• Analyze and interpret large volumes of transactional, operational, and customer data using proprietary and open source tools.
• Translate complex findings into simple visualizations and actionable recommendations for operational teams and executives.
• Operate in a fast-paced industry where time to market is critical.

Requirements

• Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, or Life Sciences.
• 3-5 years of full-time experience in Analytics or Data Science roles.
• Self-driven team player with ability to quickly learn and apply new tools, data models, and programming languages.
• Strong curiosity to identify and explain trends and patterns in data, with ability to communicate complex concepts clearly.
• Passion for emerging technologies related to Blockchain, Machine Learning, and AI .

Culture & Benefits

• 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.
• Opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement with flexibility depending on business team needs .