BAP - Data Analyst
BinanceRemote · HK
At a glance
- Location
- Remote · HK
- Workplace
- Remote
- Pay
- Not published by the employer
- Employment type
- Other
- Experience
- Not stated
- Education
- Master (required)
- Job family
- Data and analytics
- Seniority
- Not stated
- Posted by employer
- 11 August 2026
- Last verified open
- 7 September 2026
- Work from
- HK
- Region and country
- HK
- Team
- Product & Design
- Listed via
- Lever
What the employer wrote
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We're looking for a Data Analyst Intern to join the Risk/Data team. The intern will support data pipeline development, SQL-based analytics, and data standardization initiatives under the guidance of senior team members. This is a great opportunity to gain hands-on experience with large-scale data processing in a real business environment.
Responsibilities: • Assist in developing and maintaining SQL-based data pipelines and analytics workflows
• Support data standardization and normalization projects (e.g., address parsing, entity resolution)
• Help build and optimize data models, dashboards, and reports
• Conduct ad-hoc data analysis under mentorship and present findings to the team
• Assist in monitoring data quality and implementing validation logic
• Collaborate with team members on cross-functional data projects
Requirements: • Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field
• Solid SQL skills, familiarity with Hive/Spark SQL is a plus
• Basic proficiency in at least one scripting language (Python preferred)
• Strong interest in data analytics, risk control, or fraud detection
• Good communication skills, eagerness to learn and take initiative
• Available for at least 3 days per week, minimum 3-month internship duration
Why Binance • 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 • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Where this record came from
Read from Binance's own Lever job board on , and last confirmed still open on . The employer published it on 11 August 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.