Remote Senior Data Analyst for AI Compliance

Binance; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Binance is seeking a skilled Data Analyst/ Scientist to analyze and model large data volumes, build algorithmic systems, and deliver insights to compliance and business teams.

You will lead a multidisciplinary Data Analyst team, design visualizations, collaborate with compliance, and translate complex findings into actionable recommendations. This remote-first role emphasizes analytics, ML, and big data technologies.

Qualifications

• 5+ years of experience in a Data Analyst/Science role.
• Bachelor's degree in a quantitative or engineering field.
• Experience with SQL, R, and Python.
• Experience with visualization tools such as Tableau/Power BI/Qlik.
• Familiar with big data tech like Hadoop/Redshift/Spark/Presto/Hive.

Responsibilities

• Analyze, mine, and model large volumes of data to build an algorithmic system.
• Lead a multidisciplinary Data Analyst team and design complex visualizations.
• Collaborate with compliance to deliver analytical use cases and recommendations.
• Interpret PB-scale transactional data using open source and proprietary tools.
• Support data requests from business stakeholders and assess impact of changes.

Skills

Data analysis

SQL

Python

Machine learning

LLMs in business

Big data

Cross-functional collaboration

Analytical thinking

Communication skills

Regulatory compliance knowledge

AI domain experience

Education

Bachelor's degree or higher in quantitative or engineering field

Tools

Tableau

Power BI

Qlik

Hadoop

Redshift

Spark

Presto

Hive

R

Job description

Binance is seeking a skilled Data Analyst/ Scientist to analyze and model large data volumes, build algorithmic systems, and deliver insights to compliance and business teams.

You will lead a multidisciplinary Data Analyst team, design visualizations, collaborate with compliance, and translate complex findings into actionable recommendations. This remote-first role emphasizes analytics, ML, and big data technologies.