Data Analytics & BI Specialist — Remote

Binance; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Remote-first policy

Competitive salary and benefits

Job summary

Binance is seeking a data analytics professional to work across engineering data, building sophisticated visualisations and ML models. You will analyse huge volumes of transactional and operational data, translating complex findings into simple visuals and actionable recommendations for execution by operational teams and executives.

You will thrive in a fast-paced environment where time to market is critical and will leverage tools like R, SAS, Tableau, PowerBI, SQL, Python, and more to deliver

Qualifications

• A degree in a quantitative discipline and strong analytical capabilities.
• 3–5 years in an Analytics or Data Science role with practical impact.
• Ability to learn and apply new tools and techniques quickly.
• Strong communication to translate complex findings for stakeholders.

Responsibilities

• Work across data from engineering to build visualisations, ML models and experiments.
• Analyze PB-scale data using proprietary and open tools; develop insights.
• Translate findings into simple visuals and actionable recommendations for ops and executives.
• Be part of a fast-paced org where time to market is critical.

Skills

Analytical mindset

Communication skills

Curiosity about data trends

Self-driven team player

Consulting experience

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 engineering data, building sophisticated visualisations and ML models. You will analyse huge volumes of transactional and operational data, translating complex findings into simple visuals and actionable recommendations for execution by operational teams and executives.

You will thrive in a fast-paced environment where time to market is critical and will leverage tools like R, SAS, Tableau, PowerBI, SQL, Python, and more to deliver