Remote BI & Data Analytics Specialist

BlockchainHQ; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Work-from-home arrangement

Competitive salary

Company benefits

Job summary

Binance is seeking a data analytics professional to work across data engineering, visualization, and ML experiments, translating large PB-scale data into actionable insights for executives and operations.

You will apply strong quantitative skills, programming ability, and communication to translate complex findings into clear recommendations while collaborating with cross-functional teams in a fast-paced environment.

Qualifications

• Degree in a quantitative discipline (Math/Statistics/CS/Engineering/Life Sciences).
• 3–5 years of full-time analytics or data science experience.
• Self-driven team player with ability to learn new tools and apply techniques.
• Ability to translate complex findings into clear language for stakeholders.
• Prior internal consulting/business transformation experience preferred.
• Passion for Emerging Technologies related to Blockchain, ML and AI.

Responsibilities

• Work across all aspects of data from engineering to building visualisations and ML experiments.
• Analyze large PB-scale data using proprietary and open-source tools.
• Translate findings into simple visualisations and actionable recommendations for executives and operations teams.
• Be part of a fast-paced org where time to market is critical.

Skills

Analytical thinking

Data analysis

Communication

Learning agility

Education

Degree in Mathematics/Statistics/CS/Engineering/Life Sciences

Tools

R

SAS

Tableau

PowerBI

SQL

NoSQL

Neo4J

Python

Java

C++

Job description

Binance is seeking a data analytics professional to work across data engineering, visualization, and ML experiments, translating large PB-scale data into actionable insights for executives and operations.

You will apply strong quantitative skills, programming ability, and communication to translate complex findings into clear recommendations while collaborating with cross-functional teams in a fast-paced environment.