Remote Data Analytics & BI Specialist

Binance; Hinoba-an; Hybrid; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Work-from-home arrangement

Job summary

Binance is seeking a data analytics professional to work across data from engineering to build visualisations, ML models, and experiments. The role emphasizes translating complex insights into clear, actionable recommendations for executives and operational teams.

The ideal candidate will have a quantitative degree and experience in analytics or data science, plus the ability to learn new tools quickly. A remote-work arrangement is available, with opportunities for growth and continuous learning.

Qualifications

• Degree in a quantitative discipline such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences.
• Experience in an Analytics or Data Science role.
• Ability to learn and apply new tools and techniques quickly.
• Curiosity to identify trends and explain complex findings in clear language.
• Prior internal/client-facing consulting/business transformation experience preferred.

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.
• Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives.
• Be part of a fast-paced industry and organization where time to market is critical.

Skills

Data analysis

Programming (Python, Java, R)

Data visualization

Databases (SQL, NoSQL)

Education

Bachelor's degree in a quantitative field

Tools

R

SAS

Tableau

PowerBI

SQL

Neo4J

Python

Job description

Binance is seeking a data analytics professional to work across data from engineering to build visualisations, ML models, and experiments. The role emphasizes translating complex insights into clear, actionable recommendations for executives and operational teams.

The ideal candidate will have a quantitative degree and experience in analytics or data science, plus the ability to learn new tools quickly. A remote-work arrangement is available, with opportunities for growth and continuous learning.