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BAP - Data Analyst

Binance · Hong Kong · internship · Remote

DatainternshipRemoteHong Kong
Data Science & AnalyticsSenior
RemoteJobs editorial overview

Strategic Overview

BAP - Data Analyst at Binance is defined by the responsibilities and candidate requirements in the employer's listing.

The published role emphasizes work such as Assist in developing and maintaining SQL-based data pipelines and analytics workflows.

The role is listed for Hong Kong with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusData
LocationHong Kong
WorkplaceRemote
Employmentinternship
PostedNov 3, 2026
Last seenNov 3, 2026
Role context

About This Role

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.

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.

What the role delivers

Key Responsibilities & Objectives

  • 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
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 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
Compensation & benefits

Salary & Benefits

The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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

Compensation

Additional Information

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Assist in developing and maintaining SQL-based data pipelines and analytics workflows — rather than a generic title alone.

Resume & Application Strategy

For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.

Source transparencyjobicy

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.