Description review

BAP - Data Analyst

Binance · Hong Kong · back to the listing

HR standards

59/100

needs work

Title ↔ description

68/100

needs work

Reads as

Data Analyst

100% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • 18 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 71 before penalties). Reviewed 21 Sep 2026.